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Repository: codingupastorm/vadersharp
Branch: master
Commit: 83114b07fe6c
Files: 16
Total size: 461.4 KB
Directory structure:
gitextract_z6s0suvr/
├── .gitignore
├── LICENSE.txt
├── README.md
└── VaderSharp/
├── NuGet-Pack.bat
├── VaderSharp/
│ ├── ConfigStore/
│ │ ├── ConfigStore.cs
│ │ └── strings/
│ │ └── en-gb.xml
│ ├── Extensions.cs
│ ├── SentiText.cs
│ ├── SentimentAnalysisResults.cs
│ ├── SentimentIntensityAnalyzer.cs
│ ├── SentimentUtils.cs
│ ├── VaderSharp.csproj
│ └── vader_lexicon.txt
├── VaderSharp.sln
└── VaderSharpTestCore/
├── SentimentTest.cs
└── VaderSharpTestCore.csproj
================================================
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================================================
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FILE: .gitignore
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================================================
FILE: LICENSE.txt
================================================
MIT License
Copyright (c) 2017 Jordan Andrews
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================
FILE: README.md
================================================
# VaderSharp. The best sentiment analysis tool. In C#.
"VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media."
Previously VADER was only available in python (https://github.com/cjhutto/vaderSentiment). I wanted to use it in C# so ported it over.
# Getting Started
VaderSharp supports:
- .NET Core
- .NET Framework 3.5 and above
- Mono & Xamarin
- UWP
To install VaderSharp, run the following command in the Package Manager Console:
```
Install-Package CodingUpAStorm.VaderSharp
```
# Usage
Import the package at the top of the page:
```c#
using VaderSharp;
```
Then just initialize an instance of SentimentIntensityAnalyzer and call it's PolarityScores method:
```c#
SentimentIntensityAnalyzer analyzer = new SentimentIntensityAnalyzer();
var results = analyzer.PolarityScores("Wow, this package is amazingly easy to use");
Console.WriteLine("Positive score: " + results.Positive);
Console.WriteLine("Negative score: " + results.Negative);
Console.WriteLine("Neutral score: " + results.Neutral);
Console.WriteLine("Compound score: " + results.Compound);
```
================================================
FILE: VaderSharp/NuGet-Pack.bat
================================================
@echo off
set version=%1
dotnet restore .\VaderSharp
dotnet pack .\VaderSharp\VaderSharp.csproj --output ..\nupkgs --configuration Release /p:PackageVersion=%version% --include-symbols --include-source
================================================
FILE: VaderSharp/VaderSharp/ConfigStore/ConfigStore.cs
================================================
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Xml.Linq;
namespace VaderSharp
{
/// <summary>
/// Proof of concept for loading the words to be used as boosters, negations etc.
///
/// Currently not used.
/// </summary>
public class ConfigStore
{
private static ConfigStore config;
public Dictionary<string, double> BoosterDict { get; private set; }
public string[] Negations { get; private set; }
public Dictionary<string, double> SpecialCaseIdioms { get; private set; }
private ConfigStore(string languageCode)
{
LoadConfig(languageCode);
}
/// <summary>
///
/// </summary>
/// <param name="languageCode">Language code in writing style "language-country". Default is British English.</param>
/// <returns>ConfigStore object.</returns>
public static ConfigStore CreateConfig(string languageCode = "en-gb")
{
config = config ?? new ConfigStore(languageCode);
return config;
}
/// <summary>
/// Initializes the ConfigStore and loads the config file.
/// </summary>
/// <param name="languageCode">Language code in writing style "language-country".</param>
private void LoadConfig(string languageCode)
{
string path = $"D:/Daten/Repositories/vadersharp/VaderSharp/VaderSharp/strings/{languageCode}.xml";
if (!File.Exists(path))
{
throw new FileNotFoundException("Language file was not found. Please check language code.");
}
XElement root = XDocument.Load(path).Document.Root;
LoadNegations(root);
LoadIdioms(root);
LoadBooster(root);
}
/// <summary>
/// Loads negations from config file.
/// </summary>
/// <param name="root">Root element of XML document</param>
private void LoadNegations(XElement root)
{
var nodes = root.Descendants(XName.Get("negation"));
int length = nodes.Count();
Negations = new string[length];
for (int i = 0; i < length; i++)
{
Negations[i] = nodes.ElementAt(i).Value;
}
}
/// <summary>
/// Loads idioms from config file.
/// </summary>
/// <param name="root">Root element of XML document</param>
private void LoadIdioms(XElement root)
{
SpecialCaseIdioms = new Dictionary<string, double>();
var nodes = root.Descendants(XName.Get("idiom"));
double value;
foreach (var n in nodes)
{
value = double.Parse(n.Attribute(XName.Get("value")).Value);
SpecialCaseIdioms.Add(n.Value, value);
}
}
/// <summary>
/// Loads booster words from config file.
/// </summary>
/// <param name="root">Root element of XML document</param>
private void LoadBooster(XElement root)
{
BoosterDict = new Dictionary<string, double>();
var nodes = root.Descendants(XName.Get("booster"));
double sign;
foreach (var n in nodes)
{
sign = n.Attribute(XName.Get("sign")).Value == "BIncr" ? 0.293 : -0.293;
BoosterDict.Add(n.Value, sign);
}
}
}
}
================================================
FILE: VaderSharp/VaderSharp/ConfigStore/strings/en-gb.xml
================================================
<?xml version="1.0" encoding="utf-8" ?>
<strings>
<booster-words>
<booster sign="BIncr">absolutely</booster>
<booster sign="BIncr">amazingly</booster>
<booster sign="BIncr">awfully</booster>
<booster sign="BIncr">completely</booster>
<booster sign="BIncr">considerably</booster>
<booster sign="BIncr">decidedly</booster>
<booster sign="BIncr">deeply</booster>
<booster sign="BIncr">effing</booster>
<booster sign="BIncr">enormously</booster>
<booster sign="BIncr">entirely</booster>
<booster sign="BIncr">especially</booster>
<booster sign="BIncr">exceptionally</booster>
<booster sign="BIncr">extremely</booster>
<booster sign="BIncr">fabulously</booster>
<booster sign="BIncr">flipping</booster>
<booster sign="BIncr">flippin</booster>
<booster sign="BIncr">fricking</booster>
<booster sign="BIncr">frickin</booster>
<booster sign="BIncr">frigging</booster>
<booster sign="BIncr">friggin</booster>
<booster sign="BIncr">fully</booster>
<booster sign="BIncr">fucking</booster>
<booster sign="BIncr">greatly</booster>
<booster sign="BIncr">hella</booster>
<booster sign="BIncr">highly</booster>
<booster sign="BIncr">hugely</booster>
<booster sign="BIncr">incredibly</booster>
<booster sign="BIncr">intensely</booster>
<booster sign="BIncr">majorly</booster>
<booster sign="BIncr">more</booster>
<booster sign="BIncr">most</booster>
<booster sign="BIncr">particularly</booster>
<booster sign="BIncr">purely</booster>
<booster sign="BIncr">quite</booster>
<booster sign="BIncr">really</booster>
<booster sign="BIncr">remarkably</booster>
<booster sign="BIncr">so</booster>
<booster sign="BIncr">substantially</booster>
<booster sign="BIncr">thoroughly</booster>
<booster sign="BIncr">totally</booster>
<booster sign="BIncr">tremendously</booster>
<booster sign="BIncr">uber</booster>
<booster sign="BIncr">unbelievably</booster>
<booster sign="BIncr">unusually</booster>
<booster sign="BIncr">utterly</booster>
<booster sign="BIncr">very</booster>
<booster sign="BDecr">almost</booster>
<booster sign="BDecr">barely</booster>
<booster sign="BDecr">hardly</booster>
<booster sign="BDecr">just enough</booster>
<booster sign="BDecr">kind of</booster>
<booster sign="BDecr">kinda</booster>
<booster sign="BDecr">kindof</booster>
<booster sign="BDecr">kind-of</booster>
<booster sign="BDecr">less</booster>
<booster sign="BDecr">little</booster>
<booster sign="BDecr">marginally</booster>
<booster sign="BDecr">occasionally</booster>
<booster sign="BDecr">partly</booster>
<booster sign="BDecr">scarcely</booster>
<booster sign="BDecr">slightly</booster>
<booster sign="BDecr">somewhat</booster>
<booster sign="BDecr">sort of</booster>
<booster sign="BDecr">sorta</booster>
<booster sign="BDecr">sortof</booster>
<booster sign="BDecr">sort-of</booster>
</booster-words>
<negations>
<negation>aint</negation>
<negation>arent</negation>
<negation>cannot</negation>
<negation>cant</negation>
<negation>couldnt</negation>
<negation>darent</negation>
<negation>didnt</negation>
<negation>doesnt</negation>
<negation>ain't</negation>
<negation>aren't</negation>
<negation>can't</negation>
<negation>couldn't</negation>
<negation>daren't</negation>
<negation>didn't</negation>
<negation>doesn't</negation>
<negation>dont</negation>
<negation>hadnt</negation>
<negation>hasnt</negation>
<negation>havent</negation>
<negation>isnt</negation>
<negation>mightnt</negation>
<negation>mustnt</negation>
<negation>neither</negation>
<negation>don't</negation>
<negation>hadn't</negation>
<negation>hasn't</negation>
<negation>haven't</negation>
<negation>isn't</negation>
<negation>mightn't</negation>
<negation>mustn't</negation>
<negation>neednt</negation>
<negation>needn't</negation>
<negation>never</negation>
<negation>none</negation>
<negation>nope</negation>
<negation>nor</negation>
<negation>not</negation>
<negation>nothing</negation>
<negation>nowhere</negation>
<negation>oughtnt</negation>
<negation>shant</negation>
<negation>shouldnt</negation>
<negation>uhuh</negation>
<negation>wasnt</negation>
<negation>werent</negation>
<negation>oughtn't</negation>
<negation>shan't</negation>
<negation>shouldn't</negation>
<negation>uh-uh</negation>
<negation>wasn't</negation>
<negation>weren't</negation>
<negation>without</negation>
<negation>wont</negation>
<negation>wouldnt</negation>
<negation>won't</negation>
<negation>wouldn't</negation>
<negation>rarely</negation>
<negation>seldom</negation>
<negation>despite</negation>
</negations>
<special-case-idioms>
<idiom value="3">the shit</idiom>
<idiom value="3">the bomb</idiom>
<idiom value="1.5">bad ass</idiom>
<idiom value="-2">yeah right</idiom>
<idiom value="2">cut the mustard</idiom>
<idiom value="-1.5">kiss of death</idiom>
<idiom value="-2">hand to mouth</idiom>
</special-case-idioms>
</strings>
================================================
FILE: VaderSharp/VaderSharp/Extensions.cs
================================================
using System.Linq;
namespace VaderSharp
{
internal static class Extensions
{
/// <summary>
/// Determine if word is ALL CAPS
/// </summary>
/// <param name="word"></param>
/// <returns></returns>
public static bool IsUpper(this string word)
{
return !word.Any(char.IsLower);
}
/// <summary>
/// Removes punctuation from word
/// </summary>
/// <param name="word"></param>
/// <returns></returns>
public static string RemovePunctuation(this string word)
{
return new string(word.Where(c => !char.IsPunctuation(c)).ToArray());
}
}
}
================================================
FILE: VaderSharp/VaderSharp/SentiText.cs
================================================
using System.Collections.Generic;
using System.Linq;
namespace VaderSharp
{
internal class SentiText
{
private string Text { get; }
public IList<string> WordsAndEmoticons { get; }
public bool IsCapDifferential { get; }
public SentiText(string text)
{
//TODO: Encode in UTF-8 ?
Text = text;
WordsAndEmoticons = GetWordsAndEmoticons();
IsCapDifferential = SentimentUtils.AllCapDifferential(WordsAndEmoticons);
}
/// <summary>
/// Returns mapping of the form {'cat,': 'cat'}, {',cat': 'cat'}
/// </summary>
/// <returns></returns>
private Dictionary<string, string> WordsPlusPunc()
{
string noPuncText = Text.RemovePunctuation();
var wordsOnly = noPuncText.Split().Where(x=>x.Length > 1);
//for each word in wordsOnly, get each possible variant of punclist before/after
//Seems poor. Maybe I can improve in future.
Dictionary<string,string> puncDic = new Dictionary<string, string>();
foreach (var word in wordsOnly)
{
foreach (var punc in SentimentUtils.PuncList)
{
if (puncDic.ContainsKey(word + punc))
continue;
puncDic.Add(word + punc, word);
puncDic.Add(punc + word, word);
}
}
return puncDic;
}
/// <summary>
/// Removes leading and trailing punctuation. Leaves contractions and most emoticons.
/// </summary>
/// <returns></returns>
private IList<string> GetWordsAndEmoticons()
{
IList<string> wes = Text.Split().Where(x=> x.Length > 1).ToList();
Dictionary<string,string> wordsPuncDic = WordsPlusPunc();
for (int i = 0; i < wes.Count; i++)
{
if (wordsPuncDic.ContainsKey(wes[i]))
wes[i] = wordsPuncDic[wes[i]];
}
return wes;
}
}
}
================================================
FILE: VaderSharp/VaderSharp/SentimentAnalysisResults.cs
================================================
namespace VaderSharp
{
/// <summary>
/// A model to represent the result of analysis.
/// </summary>
public class SentimentAnalysisResults
{
/// <summary>
/// The proportion of words in the sentence with negative valence.
/// </summary>
public double Negative { get; set; }
/// <summary>
/// The proportion of words in the sentence with no valence.
/// </summary>
public double Neutral { get; set; }
/// <summary>
/// The proportion of words in the sentence with positive valence.
/// </summary>
public double Positive { get; set; }
/// <summary>
/// Normalized sentiment score between -1 and 1.
/// </summary>
public double Compound { get; set; }
}
}
================================================
FILE: VaderSharp/VaderSharp/SentimentIntensityAnalyzer.cs
================================================
using System;
using System.Collections.Generic;
using System.Linq;
namespace VaderSharp
{
using System.IO;
using System.Reflection;
/// <summary>
/// An abstraction to represent the sentiment intensity analyzer.
/// </summary>
public class SentimentIntensityAnalyzer
{
private const double ExclIncr = 0.292;
private const double QuesIncrSmall = 0.18;
private const double QuesIncrLarge = 0.96;
private static Dictionary<string, double> Lexicon { get; }
private static string[] LexiconFullFile { get; }
static SentimentIntensityAnalyzer()
{
Assembly assembly;
#if NET_35
assembly = typeof(SentimentIntensityAnalyzer).Assembly;
#else
assembly = typeof(SentimentIntensityAnalyzer).GetTypeInfo().Assembly;
#endif
using (var stream = assembly.GetManifestResourceStream("VaderSharp.vader_lexicon.txt"))
using(var reader = new StreamReader(stream))
{
LexiconFullFile = reader.ReadToEnd().Split('\n');
Lexicon = MakeLexDic();
}
}
private static Dictionary<string,double> MakeLexDic()
{
var dic = new Dictionary<string, double>();
foreach (var line in LexiconFullFile)
{
var lineArray = line.Trim().Split('\t');
dic.Add(lineArray[0], Double.Parse(lineArray[1]));
}
return dic;
}
/// <summary>
/// Return metrics for positive, negative and neutral sentiment based on the input text.
/// </summary>
/// <param name="input"></param>
/// <returns></returns>
public SentimentAnalysisResults PolarityScores(string input)
{
SentiText sentiText = new SentiText(input);
IList<double> sentiments = new List<double>();
IList<string> wordsAndEmoticons = sentiText.WordsAndEmoticons;
for (int i = 0; i < wordsAndEmoticons.Count; i++)
{
string item = wordsAndEmoticons[i];
double valence = 0;
if (i < wordsAndEmoticons.Count - 1 && item.ToLower() == "kind" && wordsAndEmoticons[i + 1] == "of"
|| SentimentUtils.BoosterDict.ContainsKey(item.ToLower()))
{
sentiments.Add(valence);
continue;
}
sentiments = SentimentValence(valence, sentiText, item, i, sentiments);
}
sentiments = ButCheck(wordsAndEmoticons, sentiments);
return ScoreValence(sentiments, input);
}
private IList<double> SentimentValence(double valence, SentiText sentiText, string item, int i, IList<double> sentiments)
{
string itemLowerCase = item.ToLower();
if (!Lexicon.ContainsKey(itemLowerCase))
{
sentiments.Add(valence);
return sentiments;
}
bool isCapDiff = sentiText.IsCapDifferential;
IList<string> wordsAndEmoticons = sentiText.WordsAndEmoticons;
valence = Lexicon[itemLowerCase];
if (isCapDiff && item.IsUpper())
{
if (valence > 0)
{
valence += SentimentUtils.CIncr;
}
else
{
valence -= SentimentUtils.CIncr;
}
}
for (int startI = 0; startI < 3; startI++)
{
if (i > startI && !Lexicon.ContainsKey(wordsAndEmoticons[i - (startI + 1)].ToLower()))
{
double s = SentimentUtils.ScalarIncDec(wordsAndEmoticons[i - (startI + 1)], valence, isCapDiff);
if (startI == 1 && s != 0)
s = s * 0.95;
if (startI == 2 && s != 0)
s = s * 0.9;
valence = valence + s;
valence = NeverCheck(valence, wordsAndEmoticons, startI, i);
if (startI == 2)
{
valence = IdiomsCheck(valence, wordsAndEmoticons, i);
}
}
}
valence = LeastCheck(valence, wordsAndEmoticons, i);
sentiments.Add(valence);
return sentiments;
}
private IList<double> ButCheck(IList<string> wordsAndEmoticons, IList<double> sentiments)
{
bool containsBUT = wordsAndEmoticons.Contains("BUT");
bool containsbut = wordsAndEmoticons.Contains("but");
if (!containsBUT && !containsbut)
return sentiments;
int butIndex = (containsBUT)
? wordsAndEmoticons.IndexOf("BUT")
: wordsAndEmoticons.IndexOf("but");
for (int i = 0; i < sentiments.Count; i++)
{
double sentiment = sentiments[i];
if (i < butIndex)
{
sentiments.RemoveAt(i);
sentiments.Insert(i,sentiment*0.5);
}
else if (i > butIndex)
{
sentiments.RemoveAt(i);
sentiments.Insert(i, sentiment * 1.5);
}
}
return sentiments;
}
private double LeastCheck(double valence, IList<string> wordsAndEmoticons, int i)
{
if (i > 1 && !Lexicon.ContainsKey(wordsAndEmoticons[i - 1].ToLower()) &&
wordsAndEmoticons[i - 1].ToLower() == "least")
{
if (wordsAndEmoticons[i - 2].ToLower() != "at" && wordsAndEmoticons[i - 2].ToLower() != "very")
{
valence = valence * SentimentUtils.NScalar;
}
}
else if (i > 0 && !Lexicon.ContainsKey(wordsAndEmoticons[i-1].ToLower())
&& wordsAndEmoticons[i - 1].ToLower() == "least")
{
valence = valence * SentimentUtils.NScalar;
}
return valence;
}
private double NeverCheck(double valence, IList<string> wordsAndEmoticons, int startI, int i)
{
if (startI == 0)
{
if (SentimentUtils.Negated(new List<string> {wordsAndEmoticons[i - 1]}))
valence = valence * SentimentUtils.NScalar;
}
if (startI == 1)
{
if (wordsAndEmoticons[i - 2] == "never" &&
(wordsAndEmoticons[i - 1] == "so" || wordsAndEmoticons[i - 1] == "this"))
{
valence = valence * 1.5;
}
else if (SentimentUtils.Negated(new List<string> {wordsAndEmoticons[i - (startI + 1)]}))
{
valence = valence * SentimentUtils.NScalar;
}
}
if (startI == 2)
{
if (wordsAndEmoticons[i - 3] == "never"
&& (wordsAndEmoticons[i - 2] == "so" || wordsAndEmoticons[i - 2] == "this")
|| (wordsAndEmoticons[i - 1] == "so" || wordsAndEmoticons[i - 1] == "this"))
{
valence = valence * 1.25;
}
else if (SentimentUtils.Negated(new List<string> { wordsAndEmoticons[i - (startI + 1)] }))
{
valence = valence * SentimentUtils.NScalar;
}
}
return valence;
}
private double IdiomsCheck(double valence, IList<string> wordsAndEmoticons, int i)
{
var oneZero = string.Concat(wordsAndEmoticons[i - 1], " ", wordsAndEmoticons[i]);
var twoOneZero = string.Concat(wordsAndEmoticons[i - 2], " ", wordsAndEmoticons[i - 1], " ", wordsAndEmoticons[i]);
var twoOne = string.Concat(wordsAndEmoticons[i - 2], " ", wordsAndEmoticons[i - 1]);
var threeTwoOne = string.Concat(wordsAndEmoticons[i - 3], " ", wordsAndEmoticons[i - 2], " ", wordsAndEmoticons[i - 1]);
var threeTwo = string.Concat(wordsAndEmoticons[i - 3], " ", wordsAndEmoticons[i - 2]);
string[] sequences = {oneZero, twoOneZero, twoOne, threeTwoOne, threeTwo};
foreach (var seq in sequences)
{
if (SentimentUtils.SpecialCaseIdioms.ContainsKey(seq))
{
valence = SentimentUtils.SpecialCaseIdioms[seq];
break;
}
}
if (wordsAndEmoticons.Count - 1 > i)
{
string zeroOne = string.Concat(wordsAndEmoticons[i], " ", wordsAndEmoticons[i + 1]);
if (SentimentUtils.SpecialCaseIdioms.ContainsKey(zeroOne))
{
valence = SentimentUtils.SpecialCaseIdioms[zeroOne];
}
}
if (wordsAndEmoticons.Count - 1 > i + 1)
{
string zeroOneTwo = string.Concat(wordsAndEmoticons[i], " ", wordsAndEmoticons[i + 1], " ", wordsAndEmoticons[i + 2]);
if (SentimentUtils.SpecialCaseIdioms.ContainsKey(zeroOneTwo))
{
valence = SentimentUtils.SpecialCaseIdioms[zeroOneTwo];
}
}
if (SentimentUtils.BoosterDict.ContainsKey(threeTwo) || SentimentUtils.BoosterDict.ContainsKey(twoOne))
{
valence += SentimentUtils.BDecr;
}
return valence;
}
private double PunctuationEmphasis(string text)
{
return AmplifyExclamation(text) + AmplifyQuestion(text);
}
private double AmplifyExclamation(string text)
{
int epCount = text.Count(x => x == '!');
if (epCount > 4)
epCount = 4;
return epCount * ExclIncr;
}
private static double AmplifyQuestion(string text)
{
int qmCount = text.Count(x => x == '?');
if (qmCount < 1)
return 0;
if (qmCount <= 3)
return qmCount * QuesIncrSmall;
return QuesIncrLarge;
}
private static SiftSentiments SiftSentimentScores(IList<double> sentiments)
{
SiftSentiments siftSentiments = new SiftSentiments();
foreach (var sentiment in sentiments)
{
if (sentiment > 0)
siftSentiments.PosSum += (sentiment + 1); //1 compensates for neutrals
if (sentiment < 0)
siftSentiments.NegSum += (sentiment - 1);
if (sentiment == 0)
siftSentiments.NeuCount++;
}
return siftSentiments;
}
private SentimentAnalysisResults ScoreValence(IList<double> sentiments, string text)
{
if (sentiments.Count == 0)
return new SentimentAnalysisResults(); //will return with all 0
double sum = sentiments.Sum();
double puncAmplifier = PunctuationEmphasis(text);
sum += Math.Sign(sum) * puncAmplifier;
double compound = SentimentUtils.Normalize(sum);
SiftSentiments sifted = SiftSentimentScores(sentiments);
if (sifted.PosSum > Math.Abs(sifted.NegSum))
{
sifted.PosSum += puncAmplifier;
}
else if (sifted.PosSum < Math.Abs(sifted.NegSum))
{
sifted.NegSum -= puncAmplifier;
}
double total = sifted.PosSum + Math.Abs(sifted.NegSum) + sifted.NeuCount;
return new SentimentAnalysisResults
{
Compound = Math.Round(compound,4),
Positive = Math.Round(Math.Abs(sifted.PosSum /total), 3),
Negative = Math.Round(Math.Abs(sifted.NegSum/total),3),
Neutral = Math.Round(Math.Abs(sifted.NeuCount/total), 3)
};
}
private class SiftSentiments
{
public double PosSum { get; set; }
public double NegSum { get; set; }
public int NeuCount { get; set; }
}
}
}
================================================
FILE: VaderSharp/VaderSharp/SentimentUtils.cs
================================================
using System;
using System.Collections.Generic;
namespace VaderSharp
{
internal static class SentimentUtils
{
#region Constants
public const double BIncr = 0.293;
public const double BDecr = -0.293;
public const double CIncr = 0.733;
public const double NScalar = -0.74;
public static readonly string[] PuncList =
{
".", "!", "?", ",", ";", ":", "-", "'", "\"","!!", "!!!",
"??", "???", "?!?", "!?!", "?!?!", "!?!?"
};
public static readonly string[] Negate =
{
"aint", "arent", "cannot", "cant", "couldnt", "darent", "didnt", "doesnt",
"ain't", "aren't", "can't", "couldn't", "daren't", "didn't", "doesn't",
"dont", "hadnt", "hasnt", "havent", "isnt", "mightnt", "mustnt", "neither",
"don't", "hadn't", "hasn't", "haven't", "isn't", "mightn't", "mustn't",
"neednt", "needn't", "never", "none", "nope", "nor", "not", "nothing", "nowhere",
"oughtnt", "shant", "shouldnt", "uhuh", "wasnt", "werent",
"oughtn't", "shan't", "shouldn't", "uh-uh", "wasn't", "weren't",
"without", "wont", "wouldnt", "won't", "wouldn't", "rarely", "seldom", "despite"
};
public static readonly Dictionary<string, double> BoosterDict = new Dictionary<string, double>
{
{"absolutely", BIncr},
{"amazingly", BIncr},
{"awfully", BIncr},
{"completely", BIncr},
{"considerably", BIncr},
{"decidedly", BIncr},
{"deeply", BIncr},
{"effing", BIncr},
{"enormously", BIncr},
{"entirely", BIncr},
{"especially", BIncr},
{"exceptionally", BIncr},
{"extremely", BIncr},
{"fabulously", BIncr},
{"flipping", BIncr },
{"flippin", BIncr},
{"fricking", BIncr},
{"frickin", BIncr},
{"frigging", BIncr},
{"friggin", BIncr},
{"fully", BIncr},
{"fucking", BIncr},
{"greatly", BIncr},
{"hella", BIncr},
{"highly", BIncr},
{"hugely", BIncr},
{"incredibly", BIncr},
{"intensely", BIncr},
{"majorly", BIncr},
{"more", BIncr},
{"most", BIncr},
{"particularly", BIncr},
{"purely", BIncr},
{"quite", BIncr},
{"really", BIncr},
{"remarkably", BIncr},
{"so", BIncr},
{"substantially", BIncr},
{"thoroughly", BIncr},
{"totally", BIncr},
{"tremendously", BIncr},
{"uber", BIncr},
{"unbelievably", BIncr},
{"unusually", BIncr},
{"utterly", BIncr},
{"very", BIncr},
{ "almost", BDecr},
{ "barely", BDecr},
{ "hardly", BDecr},
{ "just enough", BDecr},
{ "kind of", BDecr},
{ "kinda", BDecr},
{ "kindof", BDecr},
{ "kind-of", BDecr},
{ "less", BDecr},
{ "little", BDecr},
{ "marginally", BDecr},
{ "occasionally", BDecr},
{ "partly", BDecr},
{ "scarcely", BDecr},
{ "slightly", BDecr},
{ "somewhat", BDecr},
{"sort of", BDecr},
{ "sorta", BDecr},
{ "sortof", BDecr},
{ "sort-of", BDecr}
};
public static readonly Dictionary<string, double> SpecialCaseIdioms = new Dictionary<string, double>
{
{"the shit", 3},
{ "the bomb", 3},
{ "bad ass", 1.5},
{ "yeah right", -2},
{ "cut the mustard", 2},
{ "kiss of death", -1.5},
{ "hand to mouth", -2}
};
#endregion
#region Util static methods
/// <summary>
/// Determine if input contains negation words
/// </summary>
/// <param name="inputWords"></param>
/// <param name="includenT"></param>
/// <returns></returns>
public static bool Negated(IList<string> inputWords, bool includenT = true)
{
foreach (var word in Negate)
{
if (inputWords.Contains(word))
return true;
}
if (includenT)
{
foreach (var word in inputWords)
{
if (word.Contains(@"n't"))
return true;
}
}
if (inputWords.Contains("least"))
{
int i = inputWords.IndexOf("least");
if (i > 0 && inputWords[i - 1] != "at")
return true;
}
return false;
}
/// <summary>
/// Normalizes score to be between -1 and 1
/// </summary>
/// <param name="score"></param>
/// <param name="alpha"></param>
/// <returns></returns>
public static double Normalize(double score, double alpha = 15)
{
double normScore = score / Math.Sqrt(score * score + alpha);
if (normScore < -1.0)
return -1.0;
if (normScore > 1.0)
return 1.0;
return normScore;
}
/// <summary>
/// Checks whether some but not all of words in input are ALL CAPS
/// </summary>
/// <param name="words"></param>
/// <returns></returns>
public static bool AllCapDifferential(IList<string> words)
{
int allCapWords = 0;
foreach (var word in words)
{
if (word.IsUpper())
allCapWords++;
}
int capDifferential = words.Count - allCapWords;
return (capDifferential > 0 && capDifferential < words.Count);
}
/// <summary>
/// Check if preceding words increase, decrease or negate the valence
/// </summary>
/// <param name="word"></param>
/// <param name="valence"></param>
/// <param name="isCapDiff"></param>
/// <returns></returns>
public static double ScalarIncDec(string word, double valence, bool isCapDiff)
{
string wordLower = word.ToLower();
if (!BoosterDict.ContainsKey(wordLower))
return 0.0;
double scalar = BoosterDict[wordLower];
if (valence < 0)
scalar *= -1;
if (word.IsUpper() && isCapDiff)
{
scalar += (valence > 0) ? CIncr : -CIncr;
}
return scalar;
}
#endregion
}
}
================================================
FILE: VaderSharp/VaderSharp/VaderSharp.csproj
================================================
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<Description>A sentiment analysis algorithm in C#.</Description>
<Summary>Sentiment analysis with C# using the VADER algorithm.</Summary>
<Copyright>2017</Copyright>
<AssemblyTitle>VaderSharp</AssemblyTitle>
<VersionPrefix>0.0.0</VersionPrefix>
<Authors></Authors>
<TargetFrameworks>net35;netstandard1.3</TargetFrameworks>
<TreatWarningsAsErrors>true</TreatWarningsAsErrors>
<AssemblyName>VaderSharp</AssemblyName>
<PackageId>CodingUpAStorm.VaderSharp</PackageId>
<PackageTags>sentiment;analysis;vader;valence;text;algorithm</PackageTags>
<PackageProjectUrl>https://github.com/codingupastorm/vadersharp</PackageProjectUrl>
<PackageLicenseUrl>https://github.com/codingupastorm/vadersharp/blob/master/LICENSE</PackageLicenseUrl>
<RepositoryType>git</RepositoryType>
<RepositoryUrl>https://github.com/codingupastorm/vadersharp</RepositoryUrl>
<PackageTargetFallback Condition=" '$(TargetFramework)' == 'netstandard1.3' ">$(PackageTargetFallback);dnxcore50</PackageTargetFallback>
<GenerateAssemblyTitleAttribute>false</GenerateAssemblyTitleAttribute>
<GenerateAssemblyCopyrightAttribute>false</GenerateAssemblyCopyrightAttribute>
</PropertyGroup>
<PropertyGroup>
<TargetFrameworks>netstandard1.3;net35</TargetFrameworks>
<AssemblyVersion>0.0.0.0</AssemblyVersion>
<FileVersion>0.0.0.0</FileVersion>
</PropertyGroup>
<ItemGroup Condition=" '$(TargetFramework)' == 'net35' ">
<Reference Include="System" />
</ItemGroup>
<PropertyGroup Condition=" '$(TargetFramework)' == 'net35' ">
<DefineConstants>$(DefineConstants);NET_35</DefineConstants>
</PropertyGroup>
<PropertyGroup Condition=" '$(TargetFramework)' == 'netstandard1.3' ">
<DefineConstants>$(DefineConstants);NET_STANDARD</DefineConstants>
</PropertyGroup>
<PropertyGroup>
<!-- This is a workaround for: https://github.com/Microsoft/msbuild/issues/1333 -->
<FrameworkPathOverride Condition="'$(TargetFramework)' == 'net35'">C:\Program Files (x86)\Reference Assemblies\Microsoft\Framework\.NETFramework\v3.5\Profile\Client</FrameworkPathOverride>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">
<DocumentationFile>bin\Release\netstandard1.3\VaderSharp.xml</DocumentationFile>
</PropertyGroup>
<ItemGroup>
<EmbeddedResource Include="vader_lexicon.txt">
<CopyToOutputDirectory>Never</CopyToOutputDirectory>
</EmbeddedResource>
</ItemGroup>
</Project>
================================================
FILE: VaderSharp/VaderSharp/vader_lexicon.txt
================================================
$: -1.5 0.80623 [-1, -1, -1, -1, -3, -1, -3, -1, -2, -1]
%) -0.4 1.0198 [-1, 0, -1, 0, 0, -2, -1, 2, -1, 0]
%-) -1.5 1.43178 [-2, 0, -2, -2, -1, 2, -2, -3, -2, -3]
&-: -0.4 1.42829 [-3, -1, 0, 0, -1, -1, -1, 2, -1, 2]
&: -0.7 0.64031 [0, -1, -1, -1, 1, -1, -1, -1, -1, -1]
( '}{' ) 1.6 0.66332 [1, 2, 2, 1, 1, 2, 2, 1, 3, 1]
(% -0.9 0.9434 [0, 0, 1, -1, -1, -1, -2, -2, -1, -2]
('-: 2.2 1.16619 [4, 1, 4, 3, 1, 2, 3, 1, 2, 1]
(': 2.3 0.9 [1, 3, 3, 2, 2, 4, 2, 3, 1, 2]
((-: 2.1 0.53852 [2, 2, 2, 1, 2, 3, 2, 2, 3, 2]
(* 1.1 1.13578 [2, 1, 1, -1, 1, 2, 2, -1, 2, 2]
(-% -0.7 1.26886 [-1, 2, 0, -1, -1, -2, 0, 0, -3, -1]
(-* 1.3 1.26886 [4, 1, 2, 0, 2, -1, 1, 2, 1, 1]
(-: 1.6 0.8 [2, 2, 1, 3, 1, 1, 1, 3, 1, 1]
(-:0 2.8 0.87178 [3, 2, 3, 4, 3, 2, 3, 1, 4, 3]
(-:< -0.4 2.15407 [-3, 3, -1, -1, 2, -1, -2, 3, -3, -1]
(-:o 1.5 0.67082 [3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
(-:O 1.5 0.67082 [3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
(-:{ -0.1 1.57797 [-2, -3, 1, -2, 1, 1, 0, 0, 2, 1]
(-:|>* 1.9 0.83066 [3, 2, 2, 1, 0, 2, 3, 2, 2, 2]
(-; 1.3 1.18743 [3, 2, 3, 0, 1, -1, 1, 2, 1, 1]
(-;| 2.1 1.13578 [3, 2, 2, 4, 1, 1, 1, 4, 2, 1]
(8 2.6 1.0198 [4, 2, 1, 3, 3, 3, 3, 1, 2, 4]
(: 2.2 1.16619 [3, 1, 1, 2, 1, 2, 4, 3, 4, 1]
(:0 2.4 1.11355 [0, 2, 3, 4, 3, 2, 3, 3, 1, 3]
(:< -0.2 2.03961 [-2, -3, 1, 1, 2, -1, 2, 1, -4, 1]
(:o 2.5 0.92195 [3, 3, 1, 3, 3, 1, 2, 2, 4, 3]
(:O 2.5 0.92195 [3, 3, 1, 3, 3, 1, 2, 2, 4, 3]
(; 1.1 1.22066 [3, 1, 1, -1, 1, 2, 2, -1, 1, 2]
(;< 0.3 1.00499 [1, 2, -1, -1, 0, 0, 1, -1, 1, 1]
(= 2.2 1.16619 [3, 1, 2, 2, 1, 1, 4, 3, 4, 1]
(?: 2.1 0.83066 [2, 2, 1, 3, 2, 2, 4, 1, 2, 2]
(^: 1.5 0.67082 [1, 2, 2, 1, 3, 2, 1, 1, 1, 1]
(^; 1.5 0.5 [1, 2, 2, 1, 2, 1, 2, 1, 1, 2]
(^;0 2.0 0.7746 [2, 2, 1, 2, 1, 4, 2, 2, 2, 2]
(^;o 1.9 0.83066 [2, 2, 1, 2, 1, 4, 2, 1, 2, 2]
(o: 1.6 0.8 [2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
)': -2.0 0.44721 [-2, -2, -2, -2, -1, -3, -2, -2, -2, -2]
)-': -2.1 0.53852 [-2, -2, -3, -2, -1, -2, -3, -2, -2, -2]
)-: -2.1 0.9434 [-3, -2, -4, -1, -3, -2, -2, -2, -1, -1]
)-:< -2.2 0.4 [-2, -2, -2, -2, -2, -2, -3, -3, -2, -2]
)-:{ -2.1 0.9434 [-1, -3, -2, -1, -2, -2, -3, -4, -1, -2]
): -1.8 0.87178 [-1, -3, -1, -2, -1, -3, -1, -3, -1, -2]
):< -1.9 0.53852 [-1, -3, -2, -2, -2, -1, -2, -2, -2, -2]
):{ -2.3 0.78102 [-1, -2, -3, -3, -2, -2, -4, -2, -2, -2]
);< -2.6 0.8 [-2, -2, -2, -3, -2, -3, -2, -2, -4, -4]
*) 0.6 1.42829 [1, -1, 1, -3, 1, 1, 2, 1, 1, 2]
*-) 0.3 1.61555 [1, -3, -2, 2, 1, 1, -1, 2, 1, 1]
*-: 2.1 1.51327 [2, 2, 4, 4, 2, 1, -1, 4, 1, 2]
*-; 2.4 1.62481 [2, 3, 4, 4, 2, 1, -1, 4, 1, 4]
*: 1.9 1.04403 [2, 1, 1, 3, 1, 2, 4, 3, 1, 1]
*<|:-) 1.6 1.28062 [0, 1, 3, 1, 1, 2, 3, 0, 4, 1]
*\0/* 2.3 1.00499 [2, 0, 3, 1, 3, 3, 2, 3, 3, 3]
*^: 1.6 1.42829 [2, 2, 1, 3, 2, 2, 3, 3, -1, -1]
,-: 1.2 0.4 [1, 1, 2, 1, 1, 1, 1, 1, 2, 1]
---'-;-{@ 2.3 1.18743 [0, 1, 3, 4, 2, 3, 2, 2, 2, 4]
--<--<@ 2.2 1.249 [0, 1, 2, 4, 2, 1, 3, 2, 3, 4]
.-: -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -2, -1]
..###-: -1.7 0.78102 [-2, -3, -3, -2, -1, -1, -1, -1, -1, -2]
..###: -1.9 1.04403 [-4, -1, -3, -1, -2, -2, -1, -3, -1, -1]
/-: -1.3 0.64031 [-1, -1, -1, -1, -1, -1, -1, -2, -3, -1]
/: -1.3 0.45826 [-2, -1, -1, -1, -2, -1, -1, -2, -1, -1]
/:< -1.4 0.4899 [-1, -2, -2, -1, -1, -1, -1, -1, -2, -2]
/= -0.9 0.53852 [-1, -1, -1, 0, -1, -2, -1, -1, -1, 0]
/^: -1.0 0.7746 [-2, -1, -2, 1, -1, -1, -1, -1, -1, -1]
/o: -1.4 0.66332 [0, -2, -1, -1, -2, -2, -1, -2, -1, -2]
0-8 0.1 1.44568 [2, -1, -2, 0, 2, 0, 2, 0, -2, 0]
0-| -1.2 0.4 [-2, -1, -1, -1, -1, -1, -1, -1, -2, -1]
0:) 1.9 1.04403 [2, 2, 2, 1, 0, 2, 4, 1, 3, 2]
0:-) 1.4 0.91652 [2, 1, 0, 1, 2, 3, 2, 1, 2, 0]
0:-3 1.5 0.92195 [2, 1, 0, 2, 2, 3, 2, 1, 2, 0]
0:03 1.9 1.22066 [2, 3, 2, 0, 0, 1, 4, 2, 3, 2]
0;^) 1.6 0.91652 [0, 1, 3, 1, 2, 1, 2, 1, 2, 3]
0_o -0.3 0.78102 [0, -2, 0, 1, 0, 0, -1, 0, -1, 0]
10q 2.1 1.22066 [1, 3, 1, 2, 1, 4, 3, 4, 1, 1]
1337 2.1 1.13578 [3, 1, 4, 0, 2, 3, 1, 2, 2, 3]
143 3.2 0.74833 [4, 4, 2, 3, 2, 3, 4, 3, 4, 3]
1432 2.6 0.8 [4, 3, 3, 2, 2, 4, 2, 2, 2, 2]
14aa41 2.4 0.91652 [3, 2, 2, 4, 2, 2, 1, 2, 4, 2]
182 -2.9 1.3 [-4, 0, -3, -3, -1, -3, -4, -4, -4, -3]
187 -3.1 1.22066 [-4, 0, -4, -3, -2, -4, -3, -3, -4, -4]
2g2b4g 2.8 0.6 [4, 2, 3, 2, 3, 3, 3, 3, 2, 3]
2g2bt -0.1 1.57797 [-1, 2, -1, 1, 0, 2, 0, -3, -2, 1]
2qt 2.1 0.83066 [3, 3, 3, 3, 2, 1, 2, 1, 2, 1]
3:( -2.2 0.87178 [-4, -3, -2, -3, -2, -1, -1, -2, -2, -2]
3:) 0.5 1.28452 [-2, 1, -2, 1, 1, 1, 1, 2, 1, 1]
3:-( -2.3 0.78102 [-2, -3, -2, -2, -2, -2, -4, -1, -3, -2]
3:-) -1.4 1.35647 [-1, -2, 1, 1, -2, -2, -3, -1, -3, -2]
4col -2.2 1.16619 [-2, -3, -1, -3, -4, -1, -2, -1, -4, -1]
4q -3.1 1.51327 [-3, -3, -4, -2, -4, -4, -4, 1, -4, -4]
5fs 1.5 1.11803 [1, 2, 1, 1, 2, 3, 2, 3, -1, 1]
8) 1.9 0.7 [2, 2, 2, 1, 1, 2, 2, 3, 3, 1]
8-d 1.7 0.64031 [1, 2, 0, 2, 2, 2, 2, 2, 2, 2]
8-o -0.3 0.78102 [1, -1, 0, 0, 0, -1, 0, -2, 0, 0]
86 -1.6 1.0198 [-1, -1, -1, -1, -1, -4, -1, -2, -1, -3]
8d 2.9 0.53852 [3, 3, 4, 2, 3, 3, 3, 3, 2, 3]
:###.. -2.4 0.91652 [-3, -2, -4, -3, -1, -2, -2, -3, -1, -3]
:$ -0.2 1.83303 [-2, -1, 0, 0, -1, 1, 4, -3, 1, -1]
:& -0.6 1.0198 [-2, -1, 0, 0, -1, -1, 1, -2, 1, -1]
:'( -2.2 0.74833 [-2, -1, -2, -2, -2, -2, -4, -3, -2, -2]
:') 2.3 0.78102 [3, 1, 3, 2, 2, 2, 2, 4, 2, 2]
:'-( -2.4 0.66332 [-2, -1, -2, -3, -2, -3, -3, -3, -2, -3]
:'-) 2.7 0.64031 [2, 1, 3, 3, 3, 3, 3, 3, 3, 3]
:( -1.9 1.13578 [-2, -3, -2, 0, -1, -1, -2, -3, -1, -4]
:) 2.0 1.18322 [2, 2, 1, 1, 1, 1, 4, 3, 4, 1]
:* 2.5 1.0247 [3, 2, 1, 1, 2, 3, 4, 3, 4, 2]
:-###.. -2.5 0.92195 [-3, -2, -3, -2, -4, -3, -1, -3, -1, -3]
:-& -0.5 0.92195 [-1, -1, 0, -1, -1, -1, -1, 0, 2, -1]
:-( -1.5 0.5 [-2, -1, -1, -1, -2, -2, -2, -1, -2, -1]
:-) 1.3 0.45826 [1, 1, 1, 1, 2, 1, 2, 1, 2, 1]
:-)) 2.8 1.07703 [3, 4, 4, 1, 2, 2, 4, 2, 4, 2]
:-* 1.7 0.64031 [1, 2, 1, 1, 1, 3, 2, 2, 2, 2]
:-, 1.1 0.53852 [1, 1, 1, 0, 1, 1, 1, 1, 2, 2]
:-. -0.9 0.53852 [-1, -1, 0, -1, 0, -1, -1, -1, -2, -1]
:-/ -1.2 0.6 [0, -1, -1, -1, -1, -2, -2, -1, -1, -2]
:-< -1.5 0.5 [-2, -1, -1, -2, -1, -2, -2, -1, -2, -1]
:-d 2.3 0.45826 [2, 2, 3, 3, 2, 3, 2, 2, 2, 2]
:-D 2.3 0.45826 [2, 2, 3, 3, 2, 3, 2, 2, 2, 2]
:-o 0.1 1.3 [2, -1, -2, 0, 1, 1, 2, 0, -1, -1]
:-[ -1.6 0.4899 [-1, -2, -1, -2, -2, -1, -2, -1, -2, -2]
:-\ -0.9 0.3 [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1]
:-c -1.3 0.45826 [-1, -1, -1, -2, -2, -1, -2, -1, -1, -1]
:-p 1.5 0.5 [1, 1, 1, 1, 1, 2, 2, 2, 2, 2]
:-| -0.7 0.64031 [-1, -1, 0, 0, 0, -1, -1, -2, 0, -1]
:-|| -2.5 0.67082 [-2, -2, -2, -3, -2, -3, -3, -2, -2, -4]
:-Þ 0.9 1.04403 [1, -1, 1, 2, 1, -1, 1, 2, 2, 1]
:/ -1.4 0.66332 [-1, -1, -1, -1, -1, -1, -3, -2, -2, -1]
:3 2.3 1.26886 [4, 1, 1, 1, 2, 2, 4, 3, 4, 1]
:< -2.1 0.7 [-3, -1, -2, -2, -2, -2, -3, -3, -2, -1]
:> 2.1 1.22066 [3, 1, 1, 1, 1, 2, 4, 3, 4, 1]
:?) 1.3 0.64031 [3, 1, 1, 1, 1, 2, 1, 1, 1, 1]
:?c -1.6 0.4899 [-1, -2, -1, -1, -2, -2, -1, -2, -2, -2]
:@ -2.5 0.80623 [-1, -3, -3, -2, -1, -3, -3, -3, -3, -3]
:d 2.3 1.1 [4, 2, 2, 1, 2, 1, 4, 3, 3, 1]
:D 2.3 1.1 [4, 2, 2, 1, 2, 1, 4, 3, 3, 1]
:l -1.7 0.9 [-1, -3, -1, -1, -1, -3, -2, -3, -1, -1]
:o -0.4 1.35647 [2, -1, -2, 0, 1, 0, -3, 0, -1, 0]
:p 1.0 0.7746 [-1, 1, 1, 1, 1, 1, 2, 1, 2, 1]
:s -1.2 0.9798 [-2, -2, -1, -1, -1, 1, -3, -1, -1, -1]
:[ -2.0 0.63246 [-2, -2, -1, -2, -2, -3, -3, -2, -1, -2]
:\ -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -1, -1, -2]
:] 2.2 1.16619 [3, 1, 1, 1, 3, 1, 4, 2, 2, 4]
:^) 2.1 1.13578 [3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
:^* 2.6 0.91652 [2, 1, 2, 3, 4, 4, 3, 2, 3, 2]
:^/ -1.2 0.6 [-2, -1, -2, 0, -1, -1, -1, -1, -2, -1]
:^\ -1.0 0.44721 [-1, -1, -1, -1, -1, -2, 0, -1, -1, -1]
:^| -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
:c -2.1 0.83066 [-3, -2, -1, -2, -2, -1, -3, -3, -3, -1]
:c) 2.0 1.18322 [2, 1, 1, 1, 1, 2, 3, 4, 4, 1]
:o) 2.1 0.9434 [1, 3, 3, 1, 1, 3, 2, 3, 1, 3]
:o/ -1.4 0.4899 [-1, -1, -1, -2, -1, -1, -2, -2, -1, -2]
:o\ -1.1 0.3 [-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
:o| -0.6 1.0198 [0, 0, 0, 0, -1, 0, 0, -3, 0, -2]
:P 1.4 0.8 [3, 1, 0, 2, 1, 1, 2, 2, 1, 1]
:{ -1.9 0.83066 [-2, -1, -1, -2, -2, -1, -3, -3, -3, -1]
:| -0.4 1.11355 [-1, -1, 0, -1, -1, -1, 1, -2, 2, 0]
:} 2.1 1.22066 [3, 1, 1, 1, 2, 1, 4, 3, 4, 1]
:Þ 1.1 0.53852 [1, 1, 1, 1, 0, 1, 1, 2, 2, 1]
;) 0.9 1.04403 [2, -1, 1, 1, 1, 1, -1, 2, 2, 1]
;-) 1.0 1.73205 [1, -2, 1, -2, 1, 4, 2, 1, 2, 2]
;-* 2.2 0.74833 [2, 2, 1, 3, 4, 2, 2, 2, 2, 2]
;-] 0.7 1.67631 [1, -2, 1, -3, 1, 2, 2, 1, 2, 2]
;d 0.8 1.249 [2, -1, 2, 1, 1, 1, -2, 2, 1, 1]
;D 0.8 1.249 [2, -1, 2, 1, 1, 1, -2, 2, 1, 1]
;] 0.6 1.11355 [1, -1, 1, 1, 1, 1, -2, 2, 1, 1]
;^) 1.4 0.91652 [2, 2, 1, 2, 1, 2, -1, 1, 2, 2]
</3 -3.0 1.0 [-3, -3, -4, -3, -4, -1, -2, -2, -4, -4]
<3 1.9 1.13578 [3, 2, 1, 3, 1, 4, 2, 0, 1, 2]
<: 2.1 1.13578 [3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
<:-| -1.4 0.66332 [-1, -1, -1, -2, -2, -1, -3, -1, -1, -1]
=) 2.2 1.16619 [4, 2, 3, 3, 2, 1, 1, 4, 1, 1]
=-3 2.0 0.63246 [2, 2, 2, 3, 1, 3, 1, 2, 2, 2]
=-d 2.4 0.91652 [2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=-D 2.4 0.91652 [2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=/ -1.4 0.91652 [-1, -1, -1, -1, -1, -2, -1, -1, -4, -1]
=3 2.1 0.7 [3, 1, 2, 1, 2, 3, 2, 2, 3, 2]
=d 2.3 0.45826 [3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=D 2.3 0.45826 [3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=l -1.2 0.6 [-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=\ -1.2 0.6 [-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=] 1.6 0.8 [2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
=p 1.3 0.9 [2, 1, 2, 1, 2, -1, 1, 2, 2, 1]
=| -0.8 0.87178 [-2, -1, -2, 1, 0, -1, 0, -1, -1, -1]
>-: -2.0 0.89443 [-2, -3, -2, -4, -1, -1, -1, -2, -2, -2]
>.< -1.3 0.45826 [-1, -2, -1, -2, -2, -1, -1, -1, -1, -1]
>: -2.1 1.13578 [-4, -1, -1, -4, -2, -3, -1, -1, -2, -2]
>:( -2.7 0.64031 [-2, -3, -2, -3, -3, -2, -4, -2, -3, -3]
>:) 0.4 1.42829 [1, 1, 2, 1, -1, -2, 1, 2, -2, 1]
>:-( -2.7 0.78102 [-3, -2, -3, -2, -4, -2, -3, -2, -2, -4]
>:-) -0.4 1.68523 [1, 2, 1, -2, -2, -1, -1, -3, -1, 2]
>:/ -1.6 0.8 [-1, -2, -1, -3, -1, -1, -1, -1, -2, -3]
>:o -1.2 1.16619 [-3, -1, -2, 0, -2, -2, 0, -1, 1, -2]
>:p 1.0 0.7746 [-1, 1, 1, 2, 1, 2, 1, 1, 1, 1]
>:[ -2.1 0.53852 [-2, -2, -2, -2, -3, -3, -2, -1, -2, -2]
>:\ -1.7 0.64031 [-1, -2, -1, -2, -2, -3, -1, -1, -2, -2]
>;( -2.9 0.7 [-3, -4, -3, -2, -2, -3, -3, -3, -2, -4]
>;) 0.1 1.04403 [-1, 1, 0, -1, 2, 0, -1, 1, 1, -1]
>_>^ 2.1 0.9434 [2, 2, 1, 4, 3, 2, 1, 3, 1, 2]
@: -2.1 0.9434 [-3, -2, -3, -1, -2, -4, -1, -2, -1, -2]
@>-->-- 2.1 1.22066 [1, 1, 0, 2, 4, 2, 4, 2, 3, 2]
@}-;-'--- 2.2 1.32665 [0, 1, 3, 2, 1, 4, 4, 1, 3, 3]
aas 2.5 0.80623 [2, 3, 3, 4, 1, 2, 3, 2, 2, 3]
aayf 2.7 0.78102 [2, 3, 2, 4, 3, 2, 2, 3, 4, 2]
afu -2.9 0.83066 [-3, -3, -3, -3, -3, -1, -4, -4, -2, -3]
alol 2.8 0.74833 [2, 2, 2, 3, 3, 2, 3, 4, 4, 3]
ambw 2.9 0.7 [2, 3, 4, 2, 3, 2, 3, 3, 4, 3]
aml 3.4 0.66332 [4, 3, 2, 4, 3, 3, 4, 4, 3, 4]
atab -1.9 1.22066 [-2, 0, -1, -2, -1, -1, -2, -4, -4, -2]
awol -1.3 0.78102 [0, -1, -1, -1, -1, -1, -2, -2, -3, -1]
ayc 0.2 0.9798 [0, 1, -1, 1, 0, 1, 0, -1, 2, -1]
ayor -1.2 0.6 [-1, -1, -2, -2, -1, -1, -1, 0, -2, -1]
aug-00 0.3 1.18743 [2, 0, -2, 0, 0, 1, -1, 2, 1, 0]
bfd -2.7 0.78102 [-3, -2, -4, -2, -3, -2, -3, -2, -4, -2]
bfe -2.6 1.35647 [-3, -3, -4, -2, -3, -2, 1, -3, -4, -3]
bff 2.9 0.83066 [3, 3, 4, 2, 4, 2, 2, 3, 4, 2]
bffn 1.0 0.89443 [2, 1, -1, 1, 0, 1, 2, 1, 2, 1]
bl 2.3 1.1 [2, 1, 4, 1, 2, 2, 4, 3, 1, 3]
bsod -2.2 1.07703 [-1, -4, -3, -3, 0, -2, -3, -2, -2, -2]
btd -2.1 0.83066 [-1, -2, -3, -3, -3, -1, -3, -2, -1, -2]
btdt -0.1 1.22066 [0, -1, 0, -1, 0, 3, 1, -1, -1, -1]
bz 0.4 1.35647 [-1, 0, 0, 0, 4, 1, -1, 1, 0, 0]
b^d 2.6 0.8 [3, 2, 2, 4, 3, 1, 3, 3, 3, 2]
cwot -2.3 0.45826 [-3, -2, -2, -2, -2, -3, -2, -3, -2, -2]
d-': -2.5 0.67082 [-3, -3, -2, -2, -2, -4, -2, -3, -2, -2]
d8 -3.2 0.6 [-3, -3, -3, -3, -4, -4, -2, -3, -3, -4]
d: -2.9 0.83066 [-3, -3, -3, -3, -2, -4, -1, -3, -3, -4]
d:< -3.2 0.9798 [-4, -4, -4, -1, -3, -3, -4, -2, -3, -4]
d; -2.9 0.83066 [-1, -3, -3, -3, -3, -4, -2, -3, -3, -4]
d= -3.0 0.89443 [-4, -3, -3, -3, -2, -4, -1, -3, -3, -4]
doa -2.3 1.00499 [-2, -3, -3, -2, -2, -2, -4, 0, -2, -3]
dx -3.0 0.63246 [-3, -2, -3, -3, -4, -3, -4, -2, -3, -3]
ez 1.5 0.67082 [3, 2, 2, 1, 1, 1, 2, 1, 1, 1]
fav 2.4 0.91652 [3, 1, 3, 2, 2, 3, 1, 2, 3, 4]
fcol -1.8 0.74833 [-2, -2, -1, -2, -1, -2, -1, -3, -3, -1]
ff 1.8 1.249 [4, 2, 1, 2, 1, 3, 3, 0, 2, 0]
ffs -2.8 0.9798 [-2, -2, -3, -3, -2, -4, -4, -4, -1, -3]
fkm -2.4 1.35647 [-4, -1, -4, -2, -2, -3, -1, 0, -3, -4]
foaf 1.8 1.249 [2, 1, 2, 0, 4, 1, 1, 1, 2, 4]
ftw 2.0 0.7746 [2, 1, 1, 2, 2, 2, 3, 3, 1, 3]
fu -3.7 0.45826 [-3, -4, -4, -3, -3, -4, -4, -4, -4, -4]
fubar -3.0 1.09545 [-4, -3, -3, -4, -3, -3, -3, -4, 0, -3]
fwb 2.5 1.43178 [2, 3, 4, 0, 1, 2, 4, 1, 4, 4]
fyi 0.8 1.66132 [0, 1, 0, -1, 0, 0, 4, 4, 0, 0]
fysa 0.4 0.91652 [0, 0, 0, 1, 0, 3, 0, 0, 0, 0]
g1 1.4 0.4899 [2, 1, 1, 1, 2, 1, 2, 1, 1, 2]
gg 1.2 0.74833 [0, 2, 2, 1, 0, 1, 2, 2, 1, 1]
gga 1.7 0.45826 [2, 2, 1, 2, 2, 1, 2, 2, 1, 2]
gigo -0.6 1.11355 [-2, -1, 1, 0, 0, 0, -1, -2, -2, 1]
gj 2.0 1.0 [2, 1, 2, 1, 1, 3, 4, 2, 3, 1]
gl 1.3 0.64031 [1, 1, 1, 1, 3, 1, 1, 2, 1, 1]
gla 2.5 0.92195 [1, 2, 2, 4, 2, 4, 2, 3, 3, 2]
gn 1.2 0.74833 [1, 1, 1, 1, 3, 1, 1, 2, 1, 0]
gr8 2.7 0.78102 [1, 3, 3, 4, 3, 2, 3, 2, 3, 3]
grrr -0.4 1.42829 [-2, -1, 0, 1, -2, -1, -1, 3, 0, -1]
gt 1.1 0.53852 [1, 1, 1, 1, 1, 1, 2, 1, 0, 2]
h&k 2.3 0.78102 [2, 2, 2, 3, 4, 2, 3, 2, 1, 2]
hagd 2.2 0.87178 [2, 2, 3, 2, 1, 3, 4, 1, 2, 2]
hagn 2.2 0.87178 [2, 2, 3, 2, 1, 3, 4, 1, 2, 2]
hago 1.2 0.4 [1, 2, 1, 1, 1, 2, 1, 1, 1, 1]
hak 1.9 0.7 [3, 1, 2, 2, 1, 2, 3, 2, 1, 2]
hand 2.2 0.87178 [2, 2, 1, 3, 2, 3, 4, 1, 2, 2]
hho1/2k 1.4 1.11355 [1, -1, 2, 3, 1, 1, 1, 2, 3, 1]
hhoj 2.0 1.09545 [4, 2, 1, 1, 2, 1, 1, 4, 2, 2]
hhok 0.9 0.9434 [1, 2, 1, 0, -1, 0, 2, 1, 1, 2]
hugz 2.0 0.7746 [2, 3, 1, 3, 1, 3, 1, 2, 2, 2]
hi5 1.9 0.53852 [2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
idk -0.4 0.66332 [0, 0, 0, 0, -1, -2, 0, 0, 0, -1]
ijs 0.7 1.84662 [0, -1, 0, -1, 0, 4, 0, 4, -1, 2]
ilu 3.4 0.66332 [3, 4, 3, 4, 2, 3, 4, 3, 4, 4]
iluaaf 2.7 1.1 [3, 3, 3, 2, 3, 0, 4, 3, 2, 4]
ily 3.4 0.66332 [3, 4, 3, 4, 2, 3, 4, 3, 4, 4]
ily2 2.6 0.66332 [3, 2, 3, 2, 3, 2, 3, 4, 2, 2]
iou 0.7 1.34536 [0, 0, -1, 2, 0, 0, 0, 4, 1, 1]
iyq 2.3 1.18743 [3, 3, 1, 1, 2, 1, 4, 4, 3, 1]
j/j 2.0 1.34164 [4, 1, 1, 1, 1, 4, 4, 1, 2, 1]
j/k 1.6 1.2 [1, 2, 1, 3, 0, 0, 2, 2, 1, 4]
j/p 1.4 0.66332 [1, 1, 0, 2, 1, 2, 2, 2, 1, 2]
j/t -0.2 1.46969 [1, -1, -1, -2, 1, 1, 2, -2, 1, -2]
j/w 1.0 1.0 [1, 1, 1, 3, 0, 0, 0, 2, 0, 2]
j4f 1.4 0.8 [2, 1, 1, 0, 3, 1, 1, 1, 2, 2]
j4g 1.7 1.18743 [1, 4, 1, 1, 3, 1, 3, 0, 2, 1]
jho 0.8 0.4 [1, 1, 1, 1, 0, 1, 1, 1, 0, 1]
jhomf 1.0 0.63246 [1, 1, 1, 0, 1, 0, 2, 2, 1, 1]
jj 1.0 0.63246 [1, 1, 1, 1, 2, 0, 2, 1, 1, 0]
jk 0.9 1.22066 [1, 0, 0, 1, 0, 0, 2, 1, 4, 0]
jp 0.8 0.74833 [1, 1, 1, 0, 2, 0, 2, 0, 1, 0]
jt 0.9 0.83066 [1, 1, 0, 2, 2, 0, 2, 0, 1, 0]
jw 1.6 1.68523 [3, 0, 0, 0, 0, 0, 3, 4, 2, 4]
jealz -1.2 0.9798 [-1, -1, -1, 1, -2, -2, -1, -3, -1, -1]
k4y 2.3 1.00499 [2, 1, 1, 2, 4, 2, 3, 4, 2, 2]
kfy 2.3 0.64031 [2, 2, 2, 1, 3, 2, 3, 3, 2, 3]
kia -3.2 0.6 [-3, -3, -3, -4, -3, -2, -3, -3, -4, -4]
kk 1.5 1.0247 [2, 1, 0, 0, 1, 2, 3, 3, 2, 1]
kmuf 2.2 1.4 [2, 2, 2, 3, 4, 3, -1, 1, 4, 2]
l 2.0 0.7746 [2, 1, 2, 3, 2, 3, 1, 3, 2, 1]
l&r 2.2 0.74833 [3, 2, 2, 3, 1, 3, 1, 3, 2, 2]
laoj 1.3 1.73494 [1, -2, -1, 3, 3, 2, 4, 1, 1, 1]
lmao 2.0 1.18322 [3, 0, 3, 0, 3, 1, 3, 2, 3, 2]
lmbao 1.8 1.77764 [3, 2, 2, 2, 1, 3, -3, 2, 4, 2]
lmfao 2.5 1.28452 [3, 2, 3, 3, 3, -1, 4, 2, 3, 2]
lmso 2.7 0.78102 [3, 3, 4, 3, 3, 1, 3, 3, 2, 2]
lol 2.9 0.83066 [4, 2, 2, 2, 4, 2, 3, 3, 4, 3]
lolz 2.7 0.78102 [2, 3, 3, 2, 2, 4, 4, 3, 2, 2]
lts 1.6 0.66332 [1, 1, 2, 2, 1, 3, 1, 1, 2, 2]
ly 2.6 0.91652 [2, 2, 1, 3, 4, 4, 3, 2, 2, 3]
ly4e 2.7 0.78102 [3, 3, 3, 2, 1, 3, 3, 4, 2, 3]
lya 3.3 0.78102 [3, 4, 4, 4, 2, 2, 3, 4, 3, 4]
lyb 3.0 0.63246 [3, 3, 4, 3, 2, 3, 2, 4, 3, 3]
lyl 3.1 0.7 [4, 3, 4, 3, 2, 3, 3, 2, 4, 3]
lylab 2.7 0.78102 [3, 3, 3, 1, 3, 4, 2, 2, 3, 3]
lylas 2.6 0.8 [3, 3, 3, 1, 3, 4, 2, 2, 2, 3]
lylb 1.6 1.56205 [2, 2, 3, -2, 4, 1, 3, 1, 1, 1]
m8 1.4 1.0198 [3, 0, 1, 0, 1, 3, 2, 2, 1, 1]
mia -1.2 0.4 [-2, -1, -1, -2, -1, -1, -1, -1, -1, -1]
mml 2.0 1.0 [1, 1, 2, 3, 3, 2, 1, 2, 4, 1]
mofo -2.4 2.2 [-4, -4, -4, 0, -3, -2, -2, -4, 3, -4]
muah 2.8 1.07703 [1, 2, 4, 4, 4, 2, 4, 2, 2, 3]
mubar -1.0 2.36643 [-4, -2, -3, -2, -2, -2, 1, 4, 2, -2]
musm 0.9 2.07123 [-1, 1, 1, 1, 4, 3, 1, -4, 1, 2]
mwah 2.5 0.80623 [2, 2, 2, 4, 2, 3, 2, 2, 4, 2]
n1 1.9 1.04403 [1, 1, 3, 2, 2, 3, 4, 1, 1, 1]
nbd 1.3 1.34536 [2, 1, 0, 0, 0, 4, 2, 0, 3, 1]
nbif -0.5 0.67082 [-1, -2, 0, 0, 0, 0, -1, -1, 0, 0]
nfc -2.7 0.9 [-3, -2, -2, -3, -1, -2, -4, -3, -4, -3]
nfw -2.4 1.0198 [-2, -2, -1, -3, -1, -2, -4, -3, -4, -2]
nh 2.2 0.6 [2, 2, 2, 2, 1, 3, 3, 3, 2, 2]
nimby -0.8 0.6 [0, 0, -1, 0, -1, -2, -1, -1, -1, -1]
nimjd -0.7 0.78102 [0, -2, -1, -2, 0, -1, 0, 0, 0, -1]
nimq -0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, -2, 0]
nimy -1.4 1.68523 [-1, -2, -3, -2, -1, 2, -3, 0, 0, -4]
nitl -1.5 0.92195 [-1, -1, -2, -3, -1, -3, -1, -2, 0, -1]
nme -2.1 1.13578 [-1, -2, -2, -1, -4, -2, -3, -3, 0, -3]
noyb -0.7 1.67631 [-1, -2, 0, -1, -1, -2, -2, -1, 4, -1]
np 1.4 1.0198 [0, 1, 1, 1, 1, 2, 2, 4, 1, 1]
ntmu 1.4 0.66332 [1, 1, 0, 1, 2, 2, 2, 2, 2, 1]
o-8 -0.5 1.5 [2, -1, 0, 0, -2, -2, 0, -2, 2, -2]
o-: -0.3 1.18743 [2, -1, 0, 0, -1, -2, 0, -2, 1, 0]
o-| -1.1 0.53852 [-1, -1, -1, 0, -1, -1, -1, -2, -2, -1]
o.o -0.6 0.8 [-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
O.o -0.6 0.8 [-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
o.O -0.6 0.8 [-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
o: -0.2 0.87178 [-1, 0, -1, -2, 0, 1, 0, 1, 0, 0]
o:) 1.5 0.67082 [3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
o:-) 2.0 1.18322 [1, 4, 1, 2, 4, 1, 1, 2, 3, 1]
o:-3 2.2 0.9798 [1, 4, 2, 3, 3, 2, 1, 2, 3, 1]
o:3 2.3 0.78102 [3, 3, 2, 2, 1, 2, 4, 2, 2, 2]
o:< -0.3 1.1 [-1, -1, -2, 0, -1, 0, 1, 2, 0, -1]
o;^) 1.6 0.8 [1, 2, 1, 2, 1, 2, 2, 0, 3, 2]
ok 1.6 1.42829 [0, 0, 1, 1, 1, 4, 3, 4, 1, 1]
o_o -0.5 0.92195 [0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
O_o -0.5 0.92195 [0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
o_O -0.5 0.92195 [0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
pita -2.4 1.2 [-2, -1, -1, -4, -4, -2, -4, -2, -3, -1]
pls 0.3 0.45826 [0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
plz 0.3 0.45826 [0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
pmbi 0.8 1.32665 [3, 0, 0, 1, 1, -2, 2, 2, 0, 1]
pmfji 0.3 0.78102 [0, 0, 1, 0, 2, -1, 0, 1, 0, 0]
pmji 0.7 1.00499 [1, 2, 0, -1, 0, 0, 2, 2, 1, 0]
po -2.6 0.91652 [-2, -3, -4, -3, -3, -3, -1, -3, -1, -3]
ptl 2.6 1.11355 [3, 4, 2, 4, 1, 2, 3, 1, 4, 2]
pu -1.1 1.3 [-3, -1, -3, -2, -1, -1, -1, -1, 1, 1]
qq -2.2 0.6 [-2, -2, -1, -3, -3, -2, -2, -3, -2, -2]
qt 1.8 0.6 [2, 2, 1, 2, 1, 3, 2, 1, 2, 2]
r&r 2.4 1.0198 [2, 4, 2, 3, 1, 4, 2, 2, 1, 3]
rofl 2.7 0.78102 [3, 2, 2, 2, 4, 4, 2, 3, 3, 2]
roflmao 2.5 1.11803 [4, 2, 2, 4, 1, 1, 2, 4, 3, 2]
rotfl 2.6 0.66332 [3, 2, 3, 3, 1, 3, 3, 3, 2, 3]
rotflmao 2.8 1.07703 [4, 3, 2, 4, 1, 1, 4, 3, 3, 3]
rotflmfao 2.5 1.11803 [3, 4, 1, 3, 3, 3, 0, 3, 2, 3]
rotflol 3.0 1.09545 [1, 4, 4, 4, 2, 2, 2, 3, 4, 4]
rotgl 2.9 0.7 [4, 3, 2, 2, 3, 3, 3, 2, 4, 3]
rotglmao 1.8 2.4 [3, 3, 4, 3, -1, 1, 4, -4, 2, 3]
s: -1.1 0.83066 [-1, -1, -2, -2, -1, -1, -2, -1, 1, -1]
sapfu -1.1 1.57797 [-2, 0, -3, -1, -1, 1, -2, 2, -2, -3]
sete 2.8 0.87178 [3, 3, 3, 2, 3, 3, 4, 4, 1, 2]
sfete 2.7 0.78102 [4, 3, 3, 3, 2, 4, 2, 2, 2, 2]
sgtm 2.4 1.0198 [2, 1, 1, 2, 3, 3, 2, 2, 4, 4]
slap 0.6 2.15407 [2, -1, 1, -1, 0, 4, -3, 4, 1, -1]
slaw 2.1 1.04403 [3, 2, 0, 2, 2, 2, 3, 1, 4, 2]
smh -1.3 0.64031 [-2, -1, 0, -1, -1, -2, -2, -1, -2, -1]
snafu -2.5 1.11803 [-3, -4, -3, -3, -1, 0, -2, -3, -3, -3]
swak 2.3 1.00499 [2, 2, 2, 1, 4, 2, 3, 2, 1, 4]
tgif 2.3 1.34536 [1, 3, 3, 3, -1, 2, 4, 2, 3, 3]
thks 1.4 0.4899 [1, 2, 1, 2, 1, 2, 1, 1, 2, 1]
thx 1.5 0.92195 [0, 1, 3, 2, 1, 2, 1, 1, 3, 1]
tia 2.3 0.9 [3, 1, 2, 1, 4, 3, 2, 3, 2, 2]
tmi -0.3 1.61555 [-1, -1, 2, -1, 1, -2, -2, -1, 3, -1]
tnx 1.1 0.53852 [2, 1, 1, 0, 1, 1, 2, 1, 1, 1]
true 1.8 1.32665 [2, 1, 1, 0, 1, 4, 3, 1, 4, 1]
tx 1.5 0.92195 [3, 2, 1, 0, 2, 1, 3, 1, 1, 1]
txs 1.1 0.7 [1, 2, 0, 1, 2, 0, 1, 2, 1, 1]
ty 1.6 0.66332 [1, 2, 3, 1, 2, 2, 1, 2, 1, 1]
tyvm 2.5 1.11803 [2, 2, 1, 3, 1, 4, 2, 4, 2, 4]
urw 1.9 1.13578 [1, 2, 1, 2, 4, 2, 4, 1, 1, 1]
vbg 2.1 1.75784 [2, 3, 3, 3, 3, -3, 3, 2, 2, 3]
vbs 3.1 0.53852 [2, 3, 3, 3, 4, 4, 3, 3, 3, 3]
vip 2.3 1.00499 [2, 1, 1, 3, 4, 2, 2, 4, 2, 2]
vwd 2.6 0.91652 [4, 2, 4, 2, 1, 3, 3, 2, 3, 2]
vwp 2.1 0.7 [3, 1, 2, 2, 3, 2, 2, 3, 1, 2]
wag -0.2 0.74833 [-1, 0, 0, 0, 0, 0, -2, 1, 0, 0]
wd 2.7 1.1 [3, 1, 4, 3, 4, 2, 1, 3, 2, 4]
wilco 0.9 0.9434 [1, 3, 1, 0, 1, 0, 2, 1, 0, 0]
wp 1.0 0.0 [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
wtf -2.8 0.74833 [-4, -3, -2, -3, -2, -2, -2, -4, -3, -3]
wtg 2.1 0.7 [1, 3, 2, 3, 2, 2, 2, 1, 2, 3]
wth -2.4 0.4899 [-2, -3, -2, -3, -2, -2, -2, -3, -3, -2]
x-d 2.7 0.78102 [1, 3, 4, 2, 3, 3, 3, 2, 3, 3]
x-p 1.8 0.87178 [2, 1, 3, 1, 3, 1, 3, 1, 2, 1]
xd 2.7 0.9 [1, 4, 4, 3, 2, 2, 3, 3, 2, 3]
xlnt 3.0 0.89443 [4, 3, 3, 1, 4, 4, 3, 3, 3, 2]
xoxo 3.0 0.7746 [2, 2, 4, 2, 3, 3, 4, 3, 3, 4]
xoxozzz 2.3 0.78102 [3, 1, 2, 2, 2, 2, 3, 2, 4, 2]
xp 1.2 0.4 [1, 1, 1, 1, 2, 1, 2, 1, 1, 1]
xqzt 1.6 1.42829 [0, 2, 1, 2, 4, -1, 3, 1, 1, 3]
xtc 0.8 1.93907 [2, 0, -3, 3, 3, -1, 3, 1, -1, 1]
yolo 1.1 0.83066 [0, 1, 1, 2, 1, 1, 1, 3, 0, 1]
yoyo 0.4 1.85472 [-1, 0, -1, -1, 4, 2, -2, 2, 2, -1]
yvw 1.6 0.4899 [1, 2, 1, 1, 2, 2, 2, 1, 2, 2]
yw 1.8 1.32665 [1, 1, 1, 4, 1, 1, 4, 0, 3, 2]
ywia 2.5 1.11803 [3, 2, 3, 4, 1, 1, 1, 3, 3, 4]
zzz -1.2 0.87178 [0, -1, 0, -1, -3, -1, -1, -2, -2, -1]
[-; 0.5 1.28452 [1, -1, -1, 1, 1, 1, 2, -2, 2, 1]
[: 1.3 0.45826 [1, 1, 2, 1, 2, 2, 1, 1, 1, 1]
[; 1.0 1.34164 [2, 1, 2, 2, 1, 2, 2, -2, -1, 1]
[= 1.7 0.64031 [2, 2, 1, 1, 1, 2, 2, 3, 2, 1]
\-: -1.0 1.18322 [-3, -1, -1, -1, -1, -1, 2, -2, -1, -1]
\: -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
\:< -1.7 1.18743 [-1, -3, -2, -2, -3, -3, -2, -1, 1, -1]
\= -1.1 0.3 [-1, -1, -1, -1, -1, -1, -1, -2, -1, -1]
\^: -1.3 0.45826 [-1, -1, -1, -2, -1, -1, -1, -2, -2, -1]
\o/ 2.2 0.9798 [2, 1, 1, 2, 4, 2, 2, 4, 2, 2]
\o: -1.2 0.4 [-1, -1, -1, -1, -2, -1, -1, -2, -1, -1]
]-: -2.1 0.53852 [-2, -3, -3, -2, -2, -2, -1, -2, -2, -2]
]: -1.6 0.66332 [-1, -2, -1, -2, -3, -2, -1, -1, -1, -2]
]:< -2.5 0.80623 [-2, -2, -2, -3, -4, -2, -2, -2, -2, -4]
^<_< 1.4 1.11355 [3, 1, 3, 2, 1, 1, 1, -1, 2, 1]
^urs -2.8 0.6 [-2, -3, -3, -2, -3, -3, -2, -3, -4, -3]
abandon -1.9 0.53852 [-1, -2, -2, -2, -2, -3, -2, -2, -1, -2]
abandoned -2.0 1.09545 [-1, -1, -3, -2, -1, -4, -1, -3, -3, -1]
abandoner -1.9 0.83066 [-1, -1, -3, -2, -1, -3, -1, -2, -3, -2]
abandoners -1.9 0.83066 [-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
abandoning -1.6 0.8 [-3, -2, -3, -2, -1, -1, -1, -1, -1, -1]
abandonment -2.4 1.0198 [-4, -2, -1, -4, -2, -1, -2, -3, -3, -2]
abandonments -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
abandons -1.3 0.9 [-2, -1, -1, -2, -1, -2, -1, -2, 1, -2]
abducted -2.3 1.18743 [-3, -1, 0, -3, -1, -3, -4, -2, -3, -3]
abduction -2.8 0.87178 [-4, -3, -3, -4, -1, -3, -2, -2, -3, -3]
abductions -2.0 1.41421 [-3, -4, -1, -3, -1, -3, 1, -2, -1, -3]
abhor -2.0 1.09545 [-3, -3, -1, -1, -2, -1, -3, -3, 0, -3]
abhorred -2.4 1.49666 [-4, -4, 0, -3, -2, -1, -4, -3, -3, 0]
abhorrent -3.1 1.3 [-4, -4, -4, -2, 0, -4, -2, -3, -4, -4]
abhors -2.9 1.51327 [0, -4, -3, -3, -4, -4, 0, -4, -3, -4]
abilities 1.0 0.63246 [1, 2, 0, 1, 0, 1, 1, 1, 1, 2]
ability 1.3 0.64031 [1, 1, 1, 0, 1, 2, 2, 2, 2, 1]
aboard 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
absentee -1.1 0.53852 [-1, -1, 0, -2, -1, -1, -2, -1, -1, -1]
absentees -0.8 0.6 [-1, 0, 0, -1, -1, 0, -2, -1, -1, -1]
absolve 1.2 1.46969 [2, -3, 2, 2, 1, 1, 2, 1, 2, 2]
absolved 1.5 0.92195 [3, 1, 2, 1, 0, 2, 3, 1, 1, 1]
absolves 1.3 1.00499 [3, 1, 1, 0, 0, 2, 3, 1, 1, 1]
absolving 1.6 0.8 [3, 1, 2, 1, 1, 2, 3, 1, 1, 1]
abuse -3.2 0.6 [-4, -2, -3, -4, -3, -4, -3, -3, -3, -3]
abused -2.3 0.64031 [-2, -2, -3, -2, -2, -4, -2, -2, -2, -2]
abuser -2.6 0.4899 [-3, -2, -3, -3, -2, -3, -2, -2, -3, -3]
abusers -2.6 1.0198 [-2, -3, -3, -3, -3, -2, -3, -4, -3, 0]
abuses -2.6 0.66332 [-3, -2, -3, -3, -3, -3, -1, -2, -3, -3]
abusing -2.0 1.41421 [-1, -2, -2, -4, -4, -2, -3, -1, 1, -2]
abusive -3.2 0.74833 [-4, -3, -3, -4, -4, -3, -4, -2, -3, -2]
abusively -2.8 0.6 [-3, -4, -3, -2, -3, -2, -2, -3, -3, -3]
abusiveness -2.5 0.92195 [-2, -4, -2, -3, -2, -3, -4, -2, -1, -2]
abusivenesses -3.0 0.63246 [-3, -3, -4, -3, -4, -2, -2, -3, -3, -3]
accept 1.6 0.91652 [2, 1, 2, 1, 1, 2, 4, 1, 1, 1]
acceptabilities 1.6 0.66332 [0, 2, 2, 2, 1, 2, 2, 2, 1, 2]
acceptability 1.1 0.53852 [1, 0, 1, 2, 1, 2, 1, 1, 1, 1]
acceptable 1.3 0.45826 [1, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptableness 1.3 0.9 [1, 0, 2, 1, 2, 1, 1, 0, 2, 3]
acceptably 1.5 0.67082 [3, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptance 2.0 0.63246 [3, 1, 3, 2, 1, 2, 2, 2, 2, 2]
acceptances 1.7 0.78102 [3, 1, 1, 1, 2, 2, 1, 2, 3, 1]
acceptant 1.6 0.8 [0, 1, 2, 2, 2, 1, 2, 1, 3, 2]
acceptation 1.3 0.78102 [0, 1, 2, 1, 1, 1, 1, 3, 2, 1]
acceptations 0.9 0.83066 [1, 2, 0, 2, 0, 1, 0, 2, 1, 0]
accepted 1.1 0.3 [1, 1, 1, 1, 1, 2, 1, 1, 1, 1]
accepting 1.6 0.66332 [2, 2, 2, 1, 1, 2, 1, 3, 1, 1]
accepts 1.3 0.45826 [1, 2, 1, 1, 1, 2, 2, 1, 1, 1]
accident -2.1 0.83066 [-2, -2, -1, -3, -4, -2, -2, -1, -2, -2]
accidental -0.3 0.45826 [-1, -1, 0, 0, 0, 0, 0, 0, -1, 0]
accidentally -1.4 0.91652 [-2, 0, -2, 0, -3, -1, -1, -1, -2, -2]
accidents -1.3 0.78102 [-1, -1, -1, -1, -2, 0, -3, -1, -2, -1]
accomplish 1.8 0.6 [1, 2, 3, 2, 2, 2, 1, 1, 2, 2]
accomplished 1.9 0.53852 [2, 2, 2, 1, 2, 2, 3, 1, 2, 2]
accomplishes 1.7 0.9 [2, 2, 1, 0, 2, 3, 3, 1, 1, 2]
accusation -1.0 1.09545 [-1, -1, -2, -2, -2, -1, -1, -1, 2, -1]
accusations -1.3 1.26886 [-2, -2, -1, -3, -2, -1, -1, 2, -2, -1]
accuse -0.8 1.53623 [-3, -1, -1, -2, 1, -2, 1, -2, 2, -1]
accused -1.2 1.46969 [-2, -1, -2, 2, -2, -3, -2, -2, -1, 1]
accuses -1.4 1.0198 [-2, -1, -2, 1, -2, -3, -1, -2, -1, -1]
accusing -0.7 1.34536 [-2, -1, -1, 1, -3, -1, -1, 2, -1, 0]
ache -1.6 1.2 [-1, -2, -2, -2, -1, -4, -1, 1, -2, -2]
ached -1.6 0.8 [-2, -2, -1, -2, -1, -2, -3, 0, -1, -2]
aches -1.0 0.7746 [-1, -2, -1, -1, -1, 1, -2, -1, -1, -1]
achievable 1.3 0.45826 [2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
aching -2.2 0.74833 [-2, -3, -2, -1, -3, -3, -2, -3, -1, -2]
acquit 0.8 1.72047 [-3, 3, -1, 3, 2, 1, 1, 1, 0, 1]
acquits 0.1 1.37477 [1, -3, -1, 0, 2, 0, -1, 1, 1, 1]
acquitted 1.0 0.89443 [2, 2, 1, 1, 2, 0, 1, 1, -1, 1]
acquitting 1.3 0.78102 [3, 2, 0, 1, 1, 1, 2, 1, 1, 1]
acrimonious -1.7 1.73494 [-1, -3, -2, -3, 3, -3, -1, -2, -2, -3]
active 1.7 1.26886 [1, 2, 1, 1, 1, 4, 2, 4, 0, 1]
actively 1.3 0.78102 [0, 1, 0, 2, 2, 1, 1, 2, 2, 2]
activeness 0.6 0.8 [0, 2, 0, 0, 1, 0, 1, 0, 2, 0]
activenesses 0.8 0.74833 [2, 0, 1, 0, 0, 0, 1, 2, 1, 1]
actives 1.1 0.7 [2, 1, 0, 1, 1, 0, 1, 1, 2, 2]
adequate 0.9 0.7 [0, 0, 1, 1, 0, 2, 1, 1, 2, 1]
admirability 2.4 0.4899 [2, 3, 3, 3, 3, 2, 2, 2, 2, 2]
admirable 2.6 0.66332 [2, 3, 3, 3, 4, 3, 2, 2, 2, 2]
admirableness 2.2 0.87178 [2, 2, 3, 3, 3, 1, 3, 1, 3, 1]
admirably 2.5 0.67082 [2, 3, 3, 3, 4, 2, 2, 2, 2, 2]
admiral 1.3 1.18743 [0, 0, 1, 3, 3, 2, 2, 0, 2, 0]
admirals 1.5 0.80623 [2, 2, 0, 2, 2, 0, 1, 2, 2, 2]
admiralties 1.6 0.66332 [2, 2, 2, 1, 0, 2, 2, 2, 1, 2]
admiralty 1.2 1.53623 [0, 4, 0, 0, 0, 2, 2, 3, 2, -1]
admiration 2.5 0.80623 [3, 1, 1, 3, 3, 2, 3, 3, 3, 3]
admirations 1.6 0.66332 [2, 2, 1, 1, 2, 2, 2, 2, 2, 0]
admire 2.1 0.83066 [3, 3, 1, 3, 3, 2, 1, 2, 1, 2]
admired 2.3 0.78102 [4, 2, 2, 2, 2, 2, 3, 3, 1, 2]
admirer 1.8 0.74833 [2, 1, 1, 2, 3, 2, 3, 1, 1, 2]
admirers 1.7 1.00499 [2, 3, 2, 2, 2, 1, -1, 2, 2, 2]
admires 1.5 0.67082 [3, 1, 1, 2, 1, 2, 2, 1, 1, 1]
admiring 1.6 0.8 [1, 2, 1, 1, 3, 3, 2, 1, 1, 1]
admiringly 2.3 0.64031 [1, 3, 3, 2, 2, 2, 2, 3, 3, 2]
admit 0.8 1.07703 [0, 0, 0, 0, 0, 1, 3, 2, 2, 0]
admits 1.2 0.87178 [1, 2, 2, 2, 0, 0, 1, 2, 0, 2]
admitted 0.4 0.66332 [0, 1, 0, 1, 0, 0, 2, 0, 0, 0]
admonished -1.9 0.9434 [-2, -2, -2, -1, -2, -3, -1, -1, -1, -4]
adopt 0.7 0.64031 [0, 0, 1, 1, 1, 0, 1, 0, 1, 2]
adopts 0.7 0.64031 [0, 0, 1, 2, 1, 0, 1, 1, 0, 1]
adorability 2.2 0.74833 [2, 2, 2, 2, 1, 2, 3, 2, 4, 2]
adorable 2.2 0.6 [3, 2, 2, 3, 2, 2, 1, 3, 2, 2]
adorableness 2.5 0.67082 [2, 3, 3, 2, 3, 2, 1, 3, 3, 3]
adorably 2.1 0.7 [3, 1, 2, 3, 2, 2, 1, 3, 2, 2]
adoration 2.9 0.7 [3, 3, 3, 2, 3, 3, 4, 2, 4, 2]
adorations 2.2 0.87178 [2, 2, 3, 1, 3, 1, 3, 3, 1, 3]
adore 2.6 0.91652 [3, 3, 1, 2, 3, 3, 3, 4, 1, 3]
adored 1.8 0.87178 [2, 3, 3, 2, 2, 1, 1, 0, 2, 2]
adorer 1.7 1.1 [2, 4, 3, 1, 2, 1, 1, 0, 2, 1]
adorers 2.1 0.7 [3, 2, 1, 2, 2, 2, 3, 2, 3, 1]
adores 1.6 0.66332 [2, 1, 3, 2, 2, 1, 1, 1, 2, 1]
adoring 2.6 0.66332 [2, 3, 3, 3, 1, 3, 3, 2, 3, 3]
adoringly 2.4 0.8 [2, 3, 2, 3, 3, 3, 3, 1, 1, 3]
adorn 0.9 0.53852 [1, 1, 1, 0, 2, 1, 1, 0, 1, 1]
adorned 0.8 1.249 [1, 1, 0, 2, -1, 3, -1, 2, 1, 0]
adorner 1.3 0.78102 [1, 1, 1, 2, 1, 3, 1, 2, 1, 0]
adorners 0.9 0.9434 [2, 2, 0, 1, -1, 2, 1, 1, 0, 1]
adorning 1.0 0.7746 [0, 0, 1, 1, 1, 2, 2, 1, 0, 2]
adornment 1.3 0.78102 [1, 3, 1, 0, 2, 2, 1, 1, 1, 1]
adornments 0.8 1.16619 [2, -1, 0, 0, 2, 1, 2, -1, 1, 2]
adorns 0.5 1.56525 [3, -1, 1, 0, 2, -1, 3, -1, 0, -1]
advanced 1.0 0.63246 [1, 0, 1, 1, 1, 0, 1, 2, 1, 2]
advantage 1.0 0.63246 [1, 2, 1, 1, 2, 0, 1, 0, 1, 1]
advantaged 1.4 0.91652 [1, 0, 3, 0, 1, 1, 2, 2, 2, 2]
advantageous 1.5 0.67082 [2, 0, 2, 2, 2, 1, 1, 1, 2, 2]
advantageously 1.9 0.53852 [2, 2, 2, 3, 2, 2, 2, 1, 1, 2]
advantageousness 1.6 1.28062 [-2, 2, 3, 1, 2, 2, 2, 2, 2, 2]
advantages 1.5 0.80623 [1, 0, 3, 1, 1, 1, 2, 2, 2, 2]
advantaging 1.6 0.66332 [3, 1, 1, 2, 1, 1, 2, 2, 2, 1]
adventure 1.3 0.45826 [1, 2, 1, 1, 2, 1, 1, 1, 1, 2]
adventured 1.3 0.45826 [1, 2, 1, 2, 1, 2, 1, 1, 1, 1]
adventurer 1.2 0.6 [1, 2, 0, 2, 1, 2, 1, 1, 1, 1]
adventurers 0.9 0.9434 [0, 1, 0, 1, 0, 1, 0, 1, 3, 2]
adventures 1.4 1.2 [2, 2, 1, 2, -2, 2, 2, 1, 2, 2]
adventuresome 1.7 1.1 [0, 3, 0, 1, 2, 2, 3, 1, 2, 3]
adventuresomeness 1.3 1.00499 [1, 0, 0, 2, 3, 2, 2, 0, 1, 2]
adventuress 0.8 1.72047 [3, -1, 2, 2, 0, 0, 1, 2, -3, 2]
adventuresses 1.4 1.11355 [1, 0, 0, 3, 2, 2, 3, 0, 1, 2]
adventuring 2.3 0.78102 [2, 3, 2, 3, 1, 3, 3, 1, 2, 3]
adventurism 1.5 0.67082 [1, 0, 2, 2, 2, 2, 1, 1, 2, 2]
adventurist 1.4 0.4899 [1, 1, 2, 1, 2, 2, 2, 1, 1, 1]
adventuristic 1.7 0.64031 [2, 1, 1, 2, 2, 1, 3, 2, 2, 1]
adventurists 1.2 0.9798 [3, 1, 0, 0, 1, 2, 1, 0, 2, 2]
adventurous 1.4 1.11355 [0, 1, 2, 1, 2, 0, 3, 2, 3, 0]
adventurously 1.3 0.9 [0, 1, 2, 2, 1, 2, 1, 1, 0, 3]
adventurousness 1.8 0.87178 [0, 1, 3, 2, 1, 3, 2, 2, 2, 2]
adversarial -1.5 0.92195 [-2, 0, -1, -3, -2, -2, 0, -1, -2, -2]
adversaries -1.0 0.63246 [-1, -1, -1, -1, 0, -2, -2, -1, -1, 0]
adversary -0.8 1.72047 [-3, -1, -2, -2, -2, 2, 1, -1, 2, -2]
adversative -1.2 0.74833 [-1, -1, -2, -1, -1, -1, -3, -1, 0, -1]
adversatively -0.1 1.37477 [0, -2, -1, 0, -1, -1, 1, 1, 3, -1]
adversatives -1.0 0.7746 [-1, -1, -2, -1, -2, 1, -1, -1, -1, -1]
adverse -1.5 0.80623 [-2, -2, -2, -1, -1, 0, -1, -3, -1, -2]
adversely -0.8 1.6 [-2, -2, 0, -2, -2, 2, -2, 2, -2, 0]
adverseness -0.6 1.35647 [-1, -2, -1, 2, -1, -2, -1, 2, -1, -1]
adversities -1.5 0.67082 [-2, -2, -1, -1, -2, 0, -2, -1, -2, -2]
adversity -1.8 0.6 [-3, -2, -1, -2, -2, -2, -1, -1, -2, -2]
affected -0.6 1.35647 [-1, -2, 0, -2, 0, 0, 2, -2, 1, -2]
affection 2.4 0.8 [3, 2, 2, 3, 4, 1, 3, 2, 2, 2]
affectional 1.9 1.04403 [3, 3, 2, 0, 2, 2, 2, 3, 2, 0]
affectionally 1.5 0.92195 [1, 1, 3, 1, 1, 0, 2, 2, 3, 1]
affectionate 1.9 1.13578 [1, 0, 3, 1, 3, 2, 2, 1, 2, 4]
affectionately 2.2 0.87178 [4, 1, 1, 2, 2, 2, 3, 3, 2, 2]
affectioned 1.8 0.4 [2, 2, 1, 2, 2, 1, 2, 2, 2, 2]
affectionless -2.0 0.44721 [-2, -1, -2, -2, -2, -2, -2, -2, -2, -3]
affections 1.5 1.11803 [-1, 3, 2, 2, 1, 1, 2, 1, 3, 1]
afflicted -1.5 1.0247 [-1, -2, -3, -2, 1, -1, -1, -2, -2, -2]
affronted 0.2 2.03961 [1, -2, 2, -2, -2, 4, 0, 2, 1, -2]
aggravate -2.5 0.80623 [-3, -3, -2, -3, -2, -4, -3, -2, -2, -1]
aggravated -1.9 1.04403 [-4, -3, -3, -1, -1, -1, -1, -2, -2, -1]
aggravates -1.9 0.83066 [-3, -2, -2, -2, -3, -1, -2, -2, 0, -2]
aggravating -1.2 0.9798 [-2, -2, -1, -2, -2, -1, 0, 1, -1, -2]
aggress -1.3 1.55242 [-2, -2, 2, -2, -1, -3, -3, -1, 1, -2]
aggressed -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -2, -2, -1]
aggresses -0.5 1.43178 [-1, -2, -1, -1, -3, 0, -1, 1, 2, 1]
aggressing -0.6 1.28062 [-1, -2, -1, 0, -1, -2, 2, -2, 1, 0]
aggression -1.2 1.77764 [-2, -2, 1, 1, -4, 2, -2, -2, -2, -2]
aggressions -1.3 1.48661 [-1, -2, -2, -2, -2, -3, 1, -2, 2, -2]
aggressive -0.6 1.28062 [-2, 1, -2, -2, 0, -2, -1, 1, 1, 0]
aggressively -1.3 1.55242 [-1, -2, 3, -2, -3, -2, -1, -1, -2, -2]
aggressiveness -1.8 0.74833 [-1, -2, -1, -2, -2, -1, -3, -1, -3, -2]
aggressivities -1.4 1.28062 [-1, -1, -1, -2, 2, -2, -2, -2, -3, -2]
aggressivity -0.6 1.35647 [-3, -1, 1, 0, 0, 0, -3, -1, 1, 0]
aggressor -0.8 1.32665 [-2, 0, -1, 2, -2, -2, -1, -1, -2, 1]
aggressors -0.9 1.13578 [-2, -2, -1, -1, -1, 1, 1, 0, -2, -2]
aghast -1.9 1.04403 [-2, -3, -1, 0, -2, -1, -4, -2, -2, -2]
agitate -1.7 0.64031 [-2, -2, -3, -1, -1, -1, -2, -1, -2, -2]
agitated -2.0 0.63246 [-2, -2, -2, -2, -1, -3, -3, -2, -2, -1]
agitatedly -1.6 0.8 [-1, -2, -1, -3, -1, -3, -1, -1, -2, -1]
agitates -1.4 0.8 [-2, 0, -1, -2, -1, -1, -3, -1, -2, -1]
agitating -1.8 0.87178 [-2, -1, -1, -1, -2, -3, -1, -3, -3, -1]
agitation -1.0 1.09545 [-2, -1, 1, -1, -2, -1, -2, -1, 1, -2]
agitational -1.2 1.66132 [-3, -3, -2, 1, -1, -2, 0, 2, -1, -3]
agitations -1.3 1.18743 [-1, -2, -1, -3, -2, -3, 0, -1, 1, -1]
agitative -1.3 1.26886 [-2, -2, -1, -2, -1, -3, 1, -2, 1, -2]
agitato -0.1 1.13578 [1, 2, 0, 0, 0, 0, -2, 0, -2, 0]
agitator -1.4 0.8 [-1, -1, -1, -2, -1, -1, -2, -3, -2, 0]
agitators -2.1 0.9434 [-2, -3, -3, -2, -2, -1, -3, -2, 0, -3]
agog 1.9 0.7 [2, 1, 3, 3, 2, 1, 2, 2, 1, 2]
agonise -2.1 0.9434 [-3, -3, -2, -3, -1, -3, -1, -3, -1, -1]
agonised -2.3 0.64031 [-2, -3, -3, -2, -2, -2, -2, -3, -1, -3]
agonises -2.4 0.91652 [-1, -4, -3, -3, -2, -2, -2, -3, -1, -3]
agonising -1.5 1.43178 [-3, -2, -3, -3, -1, 1, 0, 0, -1, -3]
agonize -2.3 0.9 [-2, -3, -1, -2, -2, -2, -4, -1, -3, -3]
agonized -2.2 1.249 [-2, -3, -3, -3, -3, -2, -1, -3, 1, -3]
agonizes -2.3 1.18743 [-1, -3, -4, -3, -3, -2, -1, -3, 0, -3]
agonizing -2.7 0.78102 [-3, -2, -2, -2, -4, -3, -3, -2, -4, -2]
agonizingly -2.3 1.48661 [-3, -1, -3, -4, -4, -2, -3, 1, -1, -3]
agony -1.8 1.16619 [-3, -1, -2, -4, -2, -1, 0, -3, -1, -1]
agree 1.5 1.11803 [1, 0, 3, 1, 2, 1, 4, 1, 1, 1]
agreeability 1.9 1.04403 [1, 1, 1, 3, 3, 2, 1, 2, 4, 1]
agreeable 1.8 0.4 [2, 1, 2, 1, 2, 2, 2, 2, 2, 2]
agreeableness 1.8 0.9798 [2, 3, 2, 1, 1, 1, 4, 1, 2, 1]
agreeablenesses 1.3 0.45826 [2, 1, 1, 2, 1, 2, 1, 1, 1, 1]
agreeably 1.6 0.4899 [1, 1, 2, 1, 1, 2, 2, 2, 2, 2]
agreed 1.1 0.53852 [1, 1, 2, 1, 1, 2, 1, 0, 1, 1]
agreeing 1.4 0.4899 [1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
agreement 2.2 0.74833 [2, 1, 1, 3, 3, 3, 2, 2, 2, 3]
agreements 1.1 1.13578 [0, 1, 0, 1, 1, 2, 1, 0, 4, 1]
agrees 0.8 1.4 [1, 1, 1, 1, 3, 1, -3, 1, 1, 1]
alarm -1.4 0.91652 [-1, -1, -2, -2, -2, -2, -1, 1, -2, -2]
alarmed -1.4 0.4899 [-2, -1, -2, -2, -1, -1, -1, -2, -1, -1]
alarming -0.5 1.62788 [-1, 1, -1, 1, -3, 1, -2, -3, 1, 1]
alarmingly -2.6 0.91652 [-3, -3, -4, -3, -2, -1, -3, -3, -1, -3]
alarmism -0.3 1.26886 [-2, 0, -2, -1, 0, 1, 1, -1, 2, -1]
alarmists -1.1 1.3 [-1, -2, -3, -2, -1, -2, 1, 1, 0, -2]
alarms -1.1 1.04403 [-2, 0, -2, -1, 0, 0, 0, -1, -2, -3]
alas -1.1 1.22066 [-1, -2, -1, 0, -1, 0, 1, -3, -1, -3]
alert 1.2 0.87178 [1, 2, 0, 1, 0, 2, 2, 0, 2, 2]
alienation -1.1 1.51327 [-3, -2, -3, -1, -2, -1, 2, -1, 1, -1]
alive 1.6 0.8 [1, 1, 2, 3, 3, 2, 1, 1, 1, 1]
allergic -1.2 0.4 [-1, -2, -1, -2, -1, -1, -1, -1, -1, -1]
allow 0.9 0.83066 [0, 0, 0, 1, 2, 2, 1, 1, 2, 0]
alone -1.0 0.63246 [-2, -1, -1, -1, -2, -1, 0, -1, -1, 0]
alright 1.0 0.7746 [0, 1, 0, 3, 1, 1, 1, 1, 1, 1]
amaze 2.5 1.0247 [3, 2, 3, 4, 2, 3, 1, 4, 2, 1]
amazed 2.2 1.07703 [1, 0, 3, 2, 2, 4, 3, 3, 2, 2]
amazedly 2.1 0.53852 [2, 2, 2, 2, 3, 2, 2, 3, 1, 2]
amazement 2.5 0.80623 [3, 3, 2, 4, 1, 2, 2, 3, 2, 3]
amazements 2.2 0.87178 [3, 1, 1, 3, 3, 2, 1, 2, 3, 3]
amazes 2.2 0.9798 [1, 0, 3, 2, 2, 3, 3, 3, 2, 3]
amazing 2.8 0.87178 [1, 4, 3, 2, 4, 2, 3, 3, 3, 3]
amazon 0.7 0.64031 [0, 1, 1, 0, 1, 0, 1, 0, 1, 2]
amazonite 0.2 0.6 [0, 0, 2, 0, 0, 0, 0, 0, 0, 0]
amazons -0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, -1, 0]
amazonstone 1.0 1.61245 [0, 0, 0, 0, 4, 4, 2, 0, 0, 0]
amazonstones 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
ambitious 2.1 0.53852 [2, 3, 2, 2, 2, 2, 2, 2, 3, 1]
ambivalent 0.5 0.92195 [0, 0, -1, 2, 1, 1, 1, -1, 1, 1]
amor 3.0 0.63246 [3, 3, 2, 4, 3, 2, 4, 3, 3, 3]
amoral -1.6 0.66332 [-1, -2, 0, -2, -2, -2, -2, -2, -1, -2]
amoralism -0.7 1.34536 [-2, -1, -2, 0, 0, -3, 2, 0, -1, 0]
amoralisms -0.7 1.00499 [-2, 0, 1, -1, -2, -1, -1, 1, -1, -1]
amoralities -1.2 1.6 [-3, 0, 0, -2, 1, -1, 0, -4, -3, 0]
amorality -1.5 0.92195 [0, -1, -1, -2, -1, -3, -1, -3, -2, -1]
amorally -1.0 1.61245 [-2, 0, 1, -4, -1, 1, 1, -2, -2, -2]
amoretti 0.2 0.4 [0, 0, 0, 1, 0, 0, 0, 0, 0, 1]
amoretto 0.6 0.8 [0, 1, 0, 1, 0, 0, 2, 0, 0, 2]
amorettos 0.3 0.64031 [0, 1, 0, 1, 0, 0, 0, 1, 1, -1]
amorino 1.2 0.87178 [2, 1, 1, 0, 3, 1, 1, 0, 1, 2]
amorist 1.6 1.0198 [3, 0, 0, 2, 2, 1, 3, 1, 2, 2]
amoristic 1.0 1.67332 [1, 0, 2, 3, -1, 3, 1, 3, 0, -2]
amorists 0.1 0.9434 [0, 2, 0, 0, 1, 0, -2, 0, 0, 0]
amoroso 2.3 0.78102 [3, 1, 1, 2, 3, 3, 3, 3, 2, 2]
amorous 1.8 0.9798 [3, 1, 2, 2, 1, 1, 3, 0, 2, 3]
amorously 2.3 0.78102 [1, 1, 3, 2, 3, 3, 2, 3, 2, 3]
amorousness 2.0 0.89443 [2, 3, 1, 2, 0, 2, 2, 3, 3, 2]
amorphous -0.2 0.4 [0, 0, 0, 0, 0, 0, -1, 0, 0, -1]
amorphously 0.1 0.7 [-1, 0, 0, 0, 0, 0, 2, 0, 0, 0]
amorphousness 0.3 0.45826 [0, 0, 0, 0, 0, 1, 1, 1, 0, 0]
amort -2.1 0.83066 [-3, -1, -2, -2, -2, -2, -2, -4, -1, -2]
amortise 0.5 1.43178 [0, 1, 1, 0, -3, 2, 0, 0, 2, 2]
amortised -0.2 1.16619 [-1, -3, 0, 0, 0, 2, 0, 0, 0, 0]
amortises 0.1 0.83066 [-1, -1, 0, 0, 0, 2, 1, 0, 0, 0]
amortizable 0.5 1.0247 [2, 0, 1, 0, 1, 1, -2, 1, 0, 1]
amortization 0.6 1.0198 [0, 0, 0, 0, 1, 0, 0, 0, 3, 2]
amortizations 0.2 1.07703 [-1, 1, 0, 0, 1, 0, 2, 1, -2, 0]
amortize -0.1 1.04403 [0, 0, 0, 0, 2, -2, -1, 1, -1, 0]
amortized 0.8 0.74833 [0, 2, 0, 0, 1, 1, 1, 0, 1, 2]
amortizes 0.6 0.8 [0, 2, 0, 0, 1, 1, 0, 0, 0, 2]
amortizing 0.8 1.249 [0, 3, 0, 0, 0, 0, 0, 0, 3, 2]
amusable 0.7 1.18743 [2, 1, 1, 1, 1, 1, 2, -2, -1, 1]
amuse 1.7 0.78102 [1, 2, 1, 1, 2, 1, 1, 3, 3, 2]
amused 1.8 0.6 [1, 2, 2, 2, 2, 2, 1, 2, 3, 1]
amusedly 2.2 0.74833 [3, 3, 2, 2, 3, 2, 2, 3, 1, 1]
amusement 1.5 1.11803 [3, 2, 3, 1, 2, 2, -1, 1, 1, 1]
amusements 1.5 1.0247 [2, 1, 2, 1, 2, 2, 3, -1, 2, 1]
amuser 1.1 1.7 [2, 1, -3, 2, 2, 3, -1, 1, 2, 2]
amusers 1.3 0.45826 [1, 1, 2, 1, 2, 1, 2, 1, 1, 1]
amuses 1.7 0.64031 [1, 2, 1, 2, 2, 2, 1, 2, 3, 1]
amusia 0.3 1.48661 [0, -1, 1, -1, 2, 2, -1, -1, -1, 3]
amusias -0.4 0.66332 [-1, 0, 0, 1, 0, 0, -1, -1, -1, -1]
amusing 1.6 0.91652 [2, 2, 2, -1, 2, 2, 1, 2, 2, 2]
amusingly 0.8 1.249 [1, 2, 1, 1, 1, 2, 2, -2, -1, 1]
amusingness 1.8 0.6 [1, 2, 3, 2, 1, 2, 2, 1, 2, 2]
amusive 1.7 1.1 [3, 1, 3, 1, 2, 2, 2, 2, -1, 2]
anger -2.7 1.18743 [-1, -2, -3, -2, -4, -4, -2, -1, -4, -4]
angered -2.3 0.78102 [-2, -3, -2, -4, -2, -2, -3, -2, -2, -1]
angering -2.2 0.6 [-3, -2, -1, -3, -2, -2, -3, -2, -2, -2]
angerly -1.9 0.53852 [-2, -2, -1, -1, -3, -2, -2, -2, -2, -2]
angers -2.3 0.9 [-3, -1, -2, -3, -2, -2, -4, -1, -3, -2]
angrier -2.3 0.64031 [-2, -3, -2, -3, -1, -3, -2, -3, -2, -2]
angriest -3.1 0.83066 [-4, -3, -2, -2, -2, -4, -3, -4, -4, -3]
angrily -1.8 0.4 [-2, -1, -2, -2, -2, -1, -2, -2, -2, -2]
angriness -1.7 0.64031 [-2, 0, -2, -2, -1, -2, -2, -2, -2, -2]
angry -2.3 0.9 [-2, -2, -1, -3, -1, -2, -4, -2, -3, -3]
anguish -2.9 0.83066 [-3, -3, -2, -3, -4, -1, -3, -3, -4, -3]
anguished -1.8 1.4 [-3, -4, -1, -3, -2, -1, -1, 1, -1, -3]
anguishes -2.1 1.44568 [-4, -4, -2, -3, 1, -2, -1, -1, -2, -3]
anguishing -2.7 0.9 [-2, -2, -1, -3, -2, -4, -4, -3, -3, -3]
animosity -1.9 1.75784 [-2, -3, -3, -3, -2, 2, 1, -3, -3, -3]
annoy -1.9 0.53852 [-2, -2, -1, -2, -2, -1, -2, -2, -2, -3]
annoyance -1.3 1.55242 [-2, -3, -2, -2, -1, 1, -3, -2, 2, -1]
annoyances -1.8 0.6 [-2, -2, -2, -1, -1, -2, -3, -1, -2, -2]
annoyed -1.6 1.11355 [-3, -1, 1, -3, -1, -1, -2, -2, -2, -2]
annoyer -2.2 0.87178 [-3, -2, -1, -3, -2, -4, -2, -1, -2, -2]
annoyers -1.5 1.0247 [-2, -1, -2, -3, -2, -1, -1, -2, 1, -2]
annoying -1.7 0.64031 [-1, -2, -1, -2, -1, -1, -2, -2, -3, -2]
annoys -1.8 0.6 [-1, -2, -3, -2, -2, -2, -1, -2, -1, -2]
antagonism -1.9 1.04403 [-1, -1, -3, -2, -4, -2, -2, 0, -2, -2]
antagonisms -1.2 1.53623 [0, -2, -2, -2, -2, -2, 3, -2, -1, -2]
antagonist -1.9 0.7 [-3, -1, -2, -3, -2, -2, -1, -2, -2, -1]
antagonistic -1.7 0.9 [-2, -2, -2, 1, -2, -2, -2, -2, -2, -2]
antagonistically -2.2 0.87178 [-2, -3, -4, -2, -2, -3, -2, -2, -1, -1]
antagonists -1.7 0.64031 [-2, -1, -1, -2, -1, -2, -2, -3, -1, -2]
antagonize -2.0 0.44721 [-2, -2, -2, -3, -2, -1, -2, -2, -2, -2]
antagonized -1.4 0.66332 [-2, -1, -2, -2, -1, 0, -2, -1, -1, -2]
antagonizes -0.5 1.9105 [-2, 4, -2, -2, 1, 0, -2, 1, -1, -2]
antagonizing -2.7 0.64031 [-4, -2, -2, -3, -2, -3, -3, -2, -3, -3]
anti -1.3 0.78102 [0, -2, -3, -1, -1, -2, -1, -1, -1, -1]
anticipation 0.4 1.28062 [1, 1, -1, 0, -1, 1, 1, 2, -2, 2]
anxieties -0.6 1.85472 [-2, -3, -3, -2, -1, 2, -1, 1, 1, 2]
anxiety -0.7 2.1 [-2, -2, -2, -3, 3, -1, -3, 2, 2, -1]
anxious -1.0 0.44721 [-1, -2, -1, -1, 0, -1, -1, -1, -1, -1]
anxiously -0.9 0.83066 [-1, -1, -2, -1, -1, -1, -1, 0, 1, -2]
anxiousness -1.0 1.48324 [-2, -1, -1, -1, -1, -2, 3, -3, -1, -1]
aok 2.0 0.89443 [2, 3, 2, 1, 2, 1, 1, 4, 2, 2]
apathetic -1.2 0.87178 [-1, -1, 0, -2, -2, -1, -1, 0, -3, -1]
apathetically -0.4 1.28062 [-1, -1, 0, -1, -2, 2, -1, -1, 2, -1]
apathies -0.6 1.0198 [-1, -1, -1, -2, 0, 1, -1, -2, 1, 0]
apathy -1.2 1.32665 [-2, -2, -1, 1, -1, -3, -1, 1, -1, -3]
apeshit -0.9 2.21133 [-4, -3, 2, -3, -2, -3, 1, 0, 2, 1]
apocalyptic -3.4 0.66332 [-4, -2, -3, -4, -3, -4, -4, -3, -3, -4]
apologise 1.6 0.66332 [2, 3, 2, 2, 1, 1, 2, 1, 1, 1]
apologised 0.4 0.91652 [-1, 0, 2, 0, 0, 1, 0, 2, 0, 0]
apologises 0.8 1.07703 [2, 0, 2, 0, 0, 1, 0, 3, 0, 0]
apologising 0.2 1.6 [0, -1, -1, 2, 2, 1, -2, -1, 3, -1]
apologize 0.4 0.8 [1, -1, 0, 1, 1, 1, -1, 1, 0, 1]
apologized 1.3 0.64031 [1, 1, 1, 2, 0, 2, 1, 2, 2, 1]
apologizes 1.5 0.80623 [2, 1, 1, 2, 0, 2, 1, 2, 3, 1]
apologizing -0.3 1.34536 [1, 2, -1, 1, -1, 0, -3, 0, -1, -1]
apology 0.2 1.249 [1, 1, 1, 1, -1, 1, -1, -1, -2, 2]
appall -2.4 0.66332 [-3, -2, -2, -3, -2, -3, -1, -3, -2, -3]
appalled -2.0 0.63246 [-3, -2, -3, -2, -2, -1, -1, -2, -2, -2]
appalling -1.5 1.5 [-2, -4, 1, -1, 1, -1, -2, -3, -2, -2]
appallingly -2.0 1.67332 [-3, -2, 0, -2, 2, -3, -4, -3, -2, -3]
appalls -1.9 1.37477 [0, -3, -2, -3, -3, -2, -1, -3, 1, -3]
appease 1.1 0.9434 [1, 1, 1, -1, 2, 0, 1, 2, 2, 2]
appeased 0.9 0.53852 [0, 1, 1, 1, 1, 1, 0, 1, 2, 1]
appeases 0.9 0.53852 [0, 1, 1, 1, 1, 1, 0, 1, 2, 1]
appeasing 1.0 1.09545 [1, 2, -1, 1, 2, 1, 2, 2, 1, -1]
applaud 2.0 0.63246 [3, 2, 2, 2, 1, 2, 3, 1, 2, 2]
applauded 1.5 0.5 [2, 2, 1, 2, 2, 2, 1, 1, 1, 1]
applauding 2.1 0.83066 [2, 2, 4, 1, 2, 2, 2, 1, 2, 3]
applauds 1.4 0.66332 [1, 1, 2, 1, 3, 1, 1, 1, 2, 1]
applause 1.8 0.6 [2, 1, 1, 2, 3, 2, 1, 2, 2, 2]
appreciate 1.7 0.78102 [2, 1, 2, 1, 1, 3, 1, 2, 3, 1]
appreciated 2.3 0.78102 [2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
appreciates 2.3 0.9 [3, 1, 3, 1, 2, 4, 2, 3, 2, 2]
appreciating 1.9 0.7 [1, 1, 2, 2, 2, 2, 1, 3, 2, 3]
appreciation 2.3 0.9 [3, 3, 2, 1, 1, 3, 3, 1, 3, 3]
appreciations 1.7 0.78102 [3, 2, 1, 2, 2, 1, 3, 1, 1, 1]
appreciative 2.6 0.8 [3, 3, 3, 2, 1, 3, 4, 2, 2, 3]
appreciatively 1.8 0.6 [2, 2, 2, 2, 2, 1, 3, 2, 1, 1]
appreciativeness 1.6 0.8 [2, 1, 1, 2, 1, 1, 3, 3, 1, 1]
appreciator 2.6 0.8 [2, 3, 2, 3, 3, 2, 1, 3, 4, 3]
appreciators 1.5 0.80623 [1, 3, 1, 3, 1, 1, 2, 1, 1, 1]
appreciatory 1.7 0.78102 [1, 2, 1, 3, 1, 3, 2, 2, 1, 1]
apprehensible 1.1 1.04403 [2, 0, -1, 3, 1, 2, 1, 1, 1, 1]
apprehensibly -0.2 1.16619 [0, 0, -1, 2, -1, 2, -1, -1, -1, -1]
apprehension -2.1 0.83066 [-1, -2, -2, -1, -2, -3, -3, -3, -1, -3]
apprehensions -0.9 1.04403 [-1, -1, -1, -1, -2, -2, -1, -1, -1, 2]
apprehensively -0.3 1.18743 [-1, -1, -1, 0, 1, -2, -1, 1, -1, 2]
apprehensiveness -0.7 0.9 [-1, 1, -1, -1, 1, -1, -2, -1, -1, -1]
approval 2.1 0.53852 [2, 2, 2, 2, 2, 1, 3, 3, 2, 2]
approved 1.8 0.6 [1, 1, 1, 2, 3, 2, 2, 2, 2, 2]
approves 1.7 0.64031 [1, 1, 1, 2, 3, 2, 2, 2, 2, 1]
ardent 2.1 0.7 [3, 3, 2, 2, 3, 1, 2, 2, 1, 2]
arguable -1.0 0.63246 [-1, -1, -2, -1, -1, -2, 0, 0, -1, -1]
arguably -1.0 1.09545 [0, -2, 0, -2, 0, 1, -1, -2, -2, -2]
argue -1.4 0.66332 [-1, -2, -1, -3, -2, -1, -1, -1, -1, -1]
argued -1.5 0.5 [-2, -2, -1, -1, -1, -1, -2, -2, -2, -1]
arguer -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguers -1.4 0.4899 [-2, -1, -1, -2, -1, -1, -2, -2, -1, -1]
argues -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguing -2.0 0.63246 [-3, -3, -1, -1, -2, -2, -2, -2, -2, -2]
argument -1.5 0.80623 [-3, -1, -1, -1, -1, -2, 0, -2, -2, -2]
argumentative -1.5 0.67082 [-3, -2, -1, -1, -1, -1, -1, -2, -2, -1]
argumentatively -1.8 0.9798 [-4, -2, -1, -1, -3, -1, -2, -2, -1, -1]
argumentive -1.5 0.80623 [-3, -2, -2, -1, 0, -1, -1, -1, -2, -2]
arguments -1.7 0.64031 [-1, -1, -2, -2, -2, -3, -2, -1, -1, -2]
arrest -1.4 1.42829 [-1, 0, -1, 0, -2, -3, 0, -4, -3, 0]
arrested -2.1 1.04403 [-2, -2, -2, -1, -1, -4, -1, -4, -2, -2]
arrests -1.9 0.83066 [-4, -2, -1, -1, -1, -2, -2, -2, -2, -2]
arrogance -2.4 0.66332 [-3, -2, -2, -3, -1, -2, -3, -3, -2, -3]
arrogances -1.9 0.53852 [-1, -2, -3, -2, -2, -2, -2, -1, -2, -2]
arrogant -2.2 0.6 [-2, -2, -2, -3, -2, -3, -3, -2, -1, -2]
arrogantly -1.8 1.4 [-3, -2, 2, -3, -1, -3, -2, -2, -2, -2]
ashamed -2.1 1.3 [-3, -3, -3, -2, -2, 1, -2, -4, -1, -2]
ashamedly -1.7 0.64031 [-2, -2, -2, -1, -2, -3, -1, -2, -1, -1]
ass -2.5 1.43178 [-4, -1, -2, -1, -3, 0, -2, -4, -4, -4]
assassination -2.9 0.9434 [-2, -4, -4, -3, -3, -4, -2, -3, -3, -1]
assassinations -2.7 1.34536 [-4, -2, -3, -2, -3, -1, -4, -4, 0, -4]
assault -2.8 0.9798 [-3, -4, -2, -2, -4, -3, -1, -3, -2, -4]
assaulted -2.4 1.28062 [-3, -3, 1, -3, -3, -3, -1, -3, -3, -3]
assaulting -2.3 1.1 [-4, -3, -2, -1, -2, -1, -1, -4, -3, -2]
assaultive -2.8 0.87178 [-3, -4, -2, -4, -3, -2, -3, -1, -3, -3]
assaults -2.5 0.92195 [-1, -3, -3, -3, -4, -3, -1, -2, -2, -3]
asset 1.5 0.80623 [2, 1, 1, 3, 2, 0, 2, 2, 1, 1]
assets 0.7 1.00499 [0, 0, 1, 3, 0, 1, 0, 0, 2, 0]
assfucking -2.5 1.43178 [-3, -3, 0, -3, 0, -2, -4, -4, -4, -2]
assholes -2.8 0.74833 [-3, -3, -3, -3, -4, -3, -2, -3, -1, -3]
assurance 1.4 0.4899 [1, 1, 2, 2, 1, 1, 1, 2, 2, 1]
assurances 1.4 0.4899 [2, 2, 1, 1, 1, 2, 2, 1, 1, 1]
assure 1.4 0.4899 [1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
assured 1.5 0.67082 [1, 1, 2, 1, 1, 3, 2, 1, 2, 1]
assuredly 1.6 0.66332 [1, 1, 1, 3, 2, 2, 2, 1, 2, 1]
assuredness 1.4 0.8 [2, 2, 2, 1, 1, 0, 2, 0, 2, 2]
assurer 0.9 1.13578 [2, 1, 0, 1, -2, 2, 2, 1, 1, 1]
assurers 1.1 0.9434 [2, 0, 0, 1, 3, 2, 0, 1, 1, 1]
assures 1.3 0.45826 [2, 1, 1, 1, 2, 1, 2, 1, 1, 1]
assurgent 1.3 0.9 [2, 1, 0, 0, 1, 2, 1, 2, 3, 1]
assuring 1.6 0.66332 [1, 2, 2, 3, 1, 1, 1, 1, 2, 2]
assuror 0.5 0.67082 [0, 1, 0, 1, 2, 0, 0, 1, 0, 0]
assurors 0.7 1.34536 [2, -1, 0, 2, 0, -2, 2, 1, 1, 2]
astonished 1.6 0.8 [3, 1, 0, 2, 2, 1, 2, 2, 1, 2]
astound 1.7 1.26886 [2, 2, 2, 2, 0, 3, 4, 0, 0, 2]
astounded 1.8 0.9798 [1, 3, 0, 1, 2, 2, 3, 2, 1, 3]
astounding 1.8 1.4 [3, 4, 2, 0, 1, 2, -1, 3, 2, 2]
astoundingly 2.1 1.44568 [3, 0, 4, 1, 4, 3, 1, 3, 0, 2]
astounds 2.1 1.22066 [3, 3, 1, 0, 3, 2, 3, 3, 0, 3]
attachment 1.2 0.9798 [2, 0, 1, 2, 3, 1, 1, 2, 0, 0]
attachments 1.1 0.7 [1, 1, 2, 0, 2, 1, 2, 0, 1, 1]
attack -2.1 0.83066 [-1, -3, -2, -3, -3, -1, -2, -1, -2, -3]
attacked -2.0 1.78885 [-2, 3, -2, -2, -3, -3, -3, -4, -2, -2]
attacker -2.7 0.9 [-2, -3, -2, -1, -3, -3, -4, -4, -2, -3]
attackers -2.7 0.64031 [-3, -3, -3, -2, -3, -3, -4, -2, -2, -2]
attacking -2.0 0.89443 [-3, -1, -1, -3, -3, -1, -3, -1, -2, -2]
attacks -1.9 0.9434 [-2, -2, 0, -2, -2, -2, -1, -4, -2, -2]
attract 1.5 0.92195 [1, 3, 1, 1, 3, 1, 1, 2, 0, 2]
attractancy 0.9 0.7 [1, 0, 2, 1, 0, 2, 1, 1, 0, 1]
attractant 1.3 0.9 [0, 1, 0, 1, 1, 2, 3, 2, 1, 2]
attractants 1.4 0.8 [1, 1, 0, 2, 2, 2, 3, 1, 1, 1]
attracted 1.8 0.6 [1, 3, 1, 2, 2, 2, 2, 2, 2, 1]
attracting 2.1 0.83066 [3, 1, 2, 2, 3, 1, 1, 3, 2, 3]
attraction 2.0 0.7746 [2, 2, 1, 1, 2, 3, 3, 2, 3, 1]
attractions 1.8 0.87178 [1, 3, 0, 2, 2, 2, 2, 3, 1, 2]
attractive 1.9 0.53852 [2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
attractively 2.2 0.6 [3, 2, 2, 3, 2, 2, 2, 3, 1, 2]
attractiveness 1.8 1.16619 [3, 2, 2, 1, 4, 2, 0, 0, 2, 2]
attractivenesses 2.1 0.7 [2, 1, 2, 3, 2, 3, 3, 1, 2, 2]
attractor 1.2 1.16619 [1, 1, 2, 2, 2, -2, 2, 1, 2, 1]
attractors 1.2 0.87178 [1, 1, 2, 2, 0, 1, 3, 1, 0, 1]
attracts 1.7 1.00499 [2, 1, 2, 0, 2, 4, 2, 1, 1, 2]
audacious 0.9 2.02237 [3, -1, -2, 2, 1, 2, -3, 2, 2, 3]
authority 0.3 0.64031 [0, 0, 0, 1, 0, 0, 2, 0, 0, 0]
aversion -1.9 1.04403 [-3, -3, -1, -2, 0, -3, -1, -2, -1, -3]
aversions -1.1 1.13578 [-2, -1, -2, -2, -2, 1, -1, -2, 1, -1]
aversive -1.6 0.66332 [-2, -1, -1, -1, -2, -2, -1, -2, -3, -1]
aversively -0.8 1.53623 [-3, -1, -2, -1, 1, -2, 2, -2, 1, -1]
avert -0.7 0.78102 [-1, 0, -2, -1, -1, 1, -1, 0, -1, -1]
averted -0.3 1.00499 [-1, 1, 0, 0, 1, 0, -2, 0, 0, -2]
averts -0.4 1.0198 [-2, -2, -1, -1, 0, 0, 1, 0, 1, 0]
avid 1.2 0.87178 [-1, 2, 2, 1, 1, 1, 2, 2, 1, 1]
avoid -1.2 0.6 [-1, -1, -1, -1, -2, -2, -1, -2, 0, -1]
avoidance -1.7 0.45826 [-2, -2, -1, -1, -1, -2, -2, -2, -2, -2]
avoidances -1.1 0.53852 [-1, -1, -1, -1, -2, 0, -1, -2, -1, -1]
avoided -1.4 0.4899 [-2, -1, -2, -1, -1, -1, -2, -1, -2, -1]
avoider -1.8 0.6 [-2, -1, -3, -1, -2, -2, -2, -1, -2, -2]
avoiders -1.4 0.66332 [-2, -2, -1, -2, -1, -1, 0, -1, -2, -2]
avoiding -1.4 0.91652 [-2, 1, -2, -2, -1, -2, -1, -1, -2, -2]
avoids -0.7 0.45826 [-1, -1, -1, -1, -1, -1, 0, 0, 0, -1]
await 0.4 0.4899 [0, 0, 0, 1, 0, 1, 0, 1, 1, 0]
awaited -0.1 0.83066 [1, 0, 0, 0, 1, -1, 0, 0, -2, 0]
awaits 0.3 0.78102 [0, 0, 0, 1, 2, 1, 0, 0, -1, 0]
award 2.5 0.92195 [2, 1, 1, 3, 3, 2, 4, 3, 3, 3]
awardable 2.4 0.8 [3, 3, 3, 1, 3, 1, 2, 3, 2, 3]
awarded 1.7 0.78102 [2, 0, 1, 3, 2, 2, 2, 1, 2, 2]
awardee 1.8 0.6 [2, 2, 1, 3, 2, 2, 1, 1, 2, 2]
awardees 1.2 0.74833 [1, 1, 1, 1, 0, 1, 1, 1, 3, 2]
awarder 0.9 1.04403 [2, 0, 1, 3, 0, 2, 1, 0, 0, 0]
awarders 1.3 1.18743 [2, 1, 0, 2, 2, 0, 0, 4, 1, 1]
awarding 1.9 0.7 [3, 2, 1, 2, 1, 2, 3, 1, 2, 2]
awards 2.0 0.44721 [2, 2, 2, 2, 1, 2, 2, 3, 2, 2]
awesome 3.1 0.83066 [3, 4, 2, 3, 2, 2, 4, 4, 4, 3]
awful -2.0 2.04939 [-2, -2, -3, -3, -2, -3, 4, -3, -3, -3]
awkward -0.6 1.56205 [-2, -1, -1, -1, -1, -1, -1, -1, 4, -1]
awkwardly -1.3 0.45826 [-1, -1, -2, -1, -1, -1, -1, -2, -2, -1]
awkwardness -0.7 1.41774 [-1, -2, -2, -1, -2, 2, -1, -1, 2, -1]
axe -0.4 0.8 [-2, 0, 0, 0, 0, 0, -1, -1, -1, 1]
axed -1.3 0.78102 [-1, -2, 0, -3, -1, -2, -1, -1, -1, -1]
backed 0.1 0.3 [0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
backing 0.1 0.83066 [1, 1, -1, 0, 0, 0, -1, 1, -1, 1]
backs -0.2 0.4 [0, 0, -1, 0, 0, 0, 0, -1, 0, 0]
bad -2.5 0.67082 [-3, -2, -4, -3, -2, -2, -3, -2, -2, -2]
badass -0.6 1.85472 [-2, 3, 0, 0, -1, -3, -1, -3, 2, -1]
badly -2.1 0.7 [-2, -3, -2, -1, -3, -2, -3, -2, -1, -2]
bailout -0.4 1.35647 [-1, 0, 0, 2, -2, -1, -2, 2, -1, -1]
bamboozle -1.5 1.0247 [-3, -2, -2, -1, -2, -2, 1, -1, -1, -2]
bamboozled -1.5 1.11803 [-1, 0, -2, -4, -2, -1, -2, -1, 0, -2]
bamboozles -1.5 1.0247 [-1, 0, -2, -4, -2, -1, -2, -1, -1, -1]
ban -2.6 1.0198 [-4, -3, -4, -3, -2, -1, -3, -2, -1, -3]
banish -1.9 0.9434 [-2, -2, -2, -2, -1, -3, -1, -1, -1, -4]
bankrupt -2.6 1.0198 [-4, -4, -2, -2, -4, -3, -2, -2, -1, -2]
bankster -2.1 0.53852 [-3, -1, -2, -2, -2, -2, -2, -3, -2, -2]
banned -2.0 1.0 [-2, -1, -1, -1, -2, -2, -4, -3, -3, -1]
bargain 0.8 1.16619 [1, 1, 1, 1, 0, 1, 2, 3, -1, -1]
barrier -0.5 0.92195 [-2, 0, 0, -2, -1, -1, 1, 0, 0, 0]
bashful -0.1 1.13578 [-1, 2, -1, 0, -1, 2, 0, 0, -1, -1]
bashfully 0.2 0.9798 [0, 0, 0, -1, 1, 1, 1, 1, -2, 1]
bashfulness -0.8 0.9798 [-2, -1, 1, 1, -1, -2, -1, -1, -1, -1]
bastard -2.5 0.67082 [-2, -4, -2, -3, -2, -2, -3, -3, -2, -2]
bastardies -1.8 0.87178 [-2, -1, -3, -2, -2, -2, -1, 0, -2, -3]
bastardise -2.1 0.83066 [-2, -1, -4, -2, -2, -3, -2, -2, -2, -1]
bastardised -2.3 0.9 [-3, -2, -3, -1, -2, -3, -4, -1, -2, -2]
bastardises -2.3 1.18743 [-1, -4, -2, -3, -3, 0, -2, -4, -2, -2]
bastardising -2.6 0.8 [-3, -2, -3, -2, -2, -1, -3, -4, -3, -3]
bastardization -2.4 1.28062 [-1, -3, -4, -4, -2, -2, -2, 0, -2, -4]
bastardizations -2.1 0.7 [-2, -1, -3, -3, -2, -2, -3, -1, -2, -2]
bastardize -2.4 0.66332 [-2, -2, -3, -2, -2, -3, -4, -2, -2, -2]
bastardized -2.0 0.7746 [-2, -1, -1, -2, -3, -2, -3, -2, -1, -3]
bastardizes -1.8 0.87178 [-2, -1, -1, -2, -2, -2, -3, -3, 0, -2]
bastardizing -2.3 0.9 [-2, -2, -1, -4, -3, -2, -1, -2, -3, -3]
bastardly -2.7 0.64031 [-3, -3, -2, -2, -3, -2, -2, -4, -3, -3]
bastards -3.0 0.63246 [-4, -2, -3, -3, -4, -3, -3, -3, -3, -2]
bastardy -2.7 1.1 [-4, -3, -2, -2, -4, -3, -3, -3, -3, 0]
battle -1.6 1.28062 [-1, -3, 0, -3, -2, -3, -2, -2, 1, -1]
battled -1.2 0.87178 [0, 0, -2, 0, -2, -1, -2, -1, -2, -2]
battlefield -1.6 0.8 [-2, -2, 0, -1, -2, -1, -3, -2, -1, -2]
battlefields -0.9 1.22066 [-1, -1, 0, 0, -4, -1, 0, 0, 0, -2]
battlefront -1.2 0.87178 [-1, 0, -2, -1, 0, -3, -1, -2, -1, -1]
battlefronts -0.8 1.16619 [0, 0, -2, -1, 0, -3, -1, 1, -2, 0]
battleground -1.7 0.78102 [-2, 0, -2, -2, -1, -2, -2, -3, -1, -2]
battlegrounds -0.6 1.35647 [2, -2, 0, -1, 0, -2, -2, -2, 0, 1]
battlement -0.4 0.8 [0, -1, 0, -1, 0, -2, 0, 1, 0, -1]
battlements -0.4 0.66332 [0, 0, 0, 0, 0, -1, -2, 0, -1, 0]
battler -0.8 1.4 [2, 0, -2, 0, -2, 1, -2, -1, -2, -2]
battlers -0.2 0.9798 [-1, 0, 2, -2, 0, 0, 0, -1, 0, 0]
battles -1.6 0.4899 [-1, -1, -2, -1, -2, -2, -2, -1, -2, -2]
battleship -0.1 1.3 [2, -3, -1, -1, 0, 0, 1, 1, 0, 0]
battleships -0.5 0.80623 [-2, 0, 0, 0, 0, -1, -2, 0, 0, 0]
battlewagon -0.3 0.64031 [0, 0, -1, -2, 0, 0, 0, 0, 0, 0]
battlewagons -0.5 0.67082 [0, 0, 0, -1, -2, -1, 0, -1, 0, 0]
battling -1.1 1.04403 [0, -1, -2, -2, -1, 1, -2, 0, -2, -2]
beaten -1.8 0.6 [-1, -2, -2, -2, -3, -2, -2, -2, -1, -1]
beatific 1.8 1.6 [3, 0, 2, 4, -2, 2, 2, 2, 2, 3]
beating -2.0 0.63246 [-2, -3, -2, -2, -1, -1, -2, -3, -2, -2]
beaut 1.6 1.2 [2, 2, 2, 0, 1, -1, 2, 3, 3, 2]
beauteous 2.5 1.0247 [2, 1, 4, 3, 3, 2, 1, 4, 2, 3]
beauteously 2.6 0.8 [2, 3, 3, 3, 2, 1, 3, 4, 2, 3]
beauteousness 2.7 1.00499 [1, 3, 4, 3, 4, 1, 2, 3, 3, 3]
beautician 1.2 0.9798 [0, 0, 3, 2, 2, 0, 1, 1, 1, 2]
beauticians 0.4 0.66332 [0, 1, 0, 0, 0, 0, 1, 0, 2, 0]
beauties 2.4 0.8 [2, 3, 3, 3, 3, 1, 2, 1, 3, 3]
beautification 1.9 0.7 [2, 2, 2, 1, 2, 1, 3, 1, 2, 3]
beautifications 2.4 0.8 [3, 2, 3, 3, 1, 3, 2, 3, 1, 3]
beautified 2.1 0.7 [2, 2, 3, 1, 2, 2, 3, 1, 2, 3]
beautifier 1.7 0.64031 [2, 1, 2, 1, 2, 1, 3, 1, 2, 2]
beautifiers 1.7 0.78102 [3, 3, 1, 2, 1, 2, 2, 1, 1, 1]
beautifies 1.8 0.74833 [2, 1, 2, 1, 2, 1, 3, 1, 2, 3]
beautiful 2.9 0.7 [2, 3, 2, 3, 2, 3, 4, 4, 3, 3]
beautifuler 2.1 0.83066 [2, 0, 2, 2, 3, 2, 2, 2, 3, 3]
beautifulest 2.6 0.8 [3, 3, 3, 3, 2, 2, 4, 2, 1, 3]
beautifully 2.7 0.64031 [3, 3, 2, 2, 3, 3, 2, 2, 4, 3]
beautifulness 2.6 0.8 [3, 3, 3, 2, 3, 4, 3, 2, 2, 1]
beautify 2.3 0.45826 [2, 3, 3, 2, 2, 3, 2, 2, 2, 2]
beautifying 2.3 0.78102 [1, 2, 1, 3, 2, 2, 3, 3, 3, 3]
beauts 1.7 0.78102 [1, 2, 0, 3, 1, 2, 2, 2, 2, 2]
beauty 2.8 0.74833 [3, 3, 2, 3, 4, 4, 2, 2, 3, 2]
belittle -1.9 0.53852 [-2, -2, -2, -1, -2, -2, -1, -2, -3, -2]
belittled -2.0 1.0 [-3, -2, -3, -3, -2, -3, -1, -1, -2, 0]
beloved 2.3 0.45826 [2, 2, 3, 2, 2, 2, 2, 3, 3, 2]
benefic 1.4 0.4899 [2, 2, 1, 1, 1, 2, 2, 1, 1, 1]
benefice 0.4 0.66332 [0, 2, 0, 1, 0, 0, 1, 0, 0, 0]
beneficed 1.1 0.7 [1, 1, 1, 0, 2, 0, 1, 1, 2, 2]
beneficence 2.8 0.87178 [1, 4, 3, 4, 2, 2, 3, 3, 3, 3]
beneficences 1.5 0.67082 [1, 1, 2, 2, 1, 1, 1, 3, 2, 1]
beneficent 2.3 0.45826 [3, 2, 3, 2, 2, 2, 2, 3, 2, 2]
beneficently 2.2 0.6 [3, 2, 3, 3, 2, 2, 1, 2, 2, 2]
benefices 1.1 0.83066 [1, 1, 1, 0, 1, 0, 1, 1, 2, 3]
beneficial 1.9 0.53852 [2, 2, 1, 2, 2, 1, 3, 2, 2, 2]
beneficially 2.4 0.8 [3, 3, 2, 2, 2, 1, 3, 4, 2, 2]
beneficialness 1.7 0.64031 [2, 1, 2, 2, 1, 1, 2, 2, 1, 3]
beneficiaries 1.8 1.16619 [0, 1, 2, 1, 3, 4, 3, 1, 2, 1]
beneficiary 2.1 0.83066 [1, 3, 2, 2, 2, 1, 3, 3, 1, 3]
beneficiate 1.0 1.18322 [0, 0, 1, 3, 1, 0, 2, 0, 3, 0]
beneficiation 0.4 1.0198 [2, 2, 0, -1, 1, 0, -1, 0, 0, 1]
benefit 2.0 0.63246 [2, 3, 1, 2, 2, 3, 2, 1, 2, 2]
benefits 1.6 0.4899 [2, 2, 2, 1, 2, 1, 2, 2, 1, 1]
benefitted 1.7 0.64031 [2, 2, 1, 2, 2, 2, 2, 2, 0, 2]
benefitting 1.9 0.7 [1, 2, 2, 3, 1, 1, 2, 3, 2, 2]
benevolence 1.7 1.1 [2, 1, 3, 2, 2, 1, 2, 2, -1, 3]
benevolences 1.9 1.64012 [3, 2, -1, -1, 3, 1, 3, 4, 2, 3]
benevolent 2.7 0.78102 [2, 2, 3, 2, 4, 2, 3, 2, 4, 3]
benevolently 1.4 1.11355 [2, 1, 2, 2, 1, -1, 2, 3, 0, 2]
benevolentness 1.2 1.249 [2, 2, 1, -1, 2, 2, 3, -1, 1, 1]
benign 1.3 0.9 [1, 3, 2, 2, 1, 1, 2, 0, 0, 1]
benignancy 0.6 1.2 [2, -1, -2, 1, 0, 1, 1, 2, 1, 1]
benignant 2.2 0.9798 [2, 2, 2, 2, 2, 2, 4, 0, 3, 3]
benignantly 1.1 1.3 [3, 2, 3, 0, 1, 1, -1, 2, 0, 0]
benignities 0.9 0.9434 [-1, 2, 1, 0, 1, 1, 2, 2, 1, 0]
benignity 1.3 1.18743 [2, -2, 2, 2, 2, 1, 2, 1, 1, 2]
benignly 0.2 1.07703 [0, -1, 1, 1, 1, 0, 2, 0, -2, 0]
bereave -2.1 1.13578 [0, -2, -2, -3, -3, -4, -3, -2, -1, -1]
bereaved -2.1 0.9434 [-2, -2, -2, -1, -2, -1, -4, -1, -3, -3]
bereaves -1.9 1.22066 [0, -3, 0, -1, -3, -2, -3, -1, -3, -3]
bereaving -1.3 1.84662 [-3, -4, -3, 1, -2, 0, -3, -1, 1, 1]
best 3.2 0.6 [2, 4, 4, 3, 4, 3, 3, 3, 3, 3]
betray -3.2 0.6 [-3, -4, -4, -3, -2, -3, -4, -3, -3, -3]
betrayal -2.8 0.74833 [-3, -4, -4, -2, -3, -2, -3, -3, -2, -2]
betrayed -3.0 0.63246 [-2, -3, -3, -3, -4, -4, -3, -3, -2, -3]
betraying -2.5 0.67082 [-2, -2, -3, -2, -3, -2, -4, -2, -2, -3]
betrays -2.5 0.67082 [-2, -3, -3, -2, -2, -2, -4, -2, -3, -2]
better 1.9 0.7 [2, 1, 2, 1, 1, 3, 2, 2, 3, 2]
bias -0.4 1.11355 [-1, -2, 0, -2, -1, 1, -1, 1, 0, 1]
biased -1.1 0.83066 [-2, -2, -1, -1, -1, -1, -1, 1, -2, -1]
bitch -2.8 0.87178 [-1, -4, -2, -4, -3, -2, -3, -3, -3, -3]
bitched -2.6 1.0198 [-1, -3, -2, -3, -2, -1, -4, -3, -3, -4]
bitcheries -2.3 0.78102 [-2, -2, -2, -4, -2, -2, -3, -1, -3, -2]
bitchery -2.7 1.18743 [-2, -2, -4, -2, -4, -4, -1, -1, -3, -4]
bitches -2.9 0.9434 [-2, -1, -3, -3, -2, -4, -4, -3, -3, -4]
bitchier -2.0 0.63246 [-2, -3, -1, -2, -3, -1, -2, -2, -2, -2]
bitchiest -3.0 0.7746 [-2, -4, -2, -3, -4, -3, -3, -4, -2, -3]
bitchily -2.6 1.11355 [-4, -4, -2, -2, -1, -4, -1, -2, -3, -3]
bitchiness -2.6 0.66332 [-3, -3, -2, -2, -3, -3, -1, -3, -3, -3]
bitching -1.1 1.64012 [-2, 2, -2, -1, 2, -1, -2, -2, -3, -2]
bitchy -2.3 1.00499 [-4, -1, -2, -3, -3, -2, -1, -1, -3, -3]
bitter -1.8 0.4 [-2, -2, -2, -1, -2, -2, -1, -2, -2, -2]
bitterbrush -0.2 0.74833 [0, 0, 0, 0, -2, 1, 0, 0, -1, 0]
bitterbrushes -0.6 0.8 [-1, 0, -2, -1, -2, 0, 0, 0, 0, 0]
bittered -1.8 1.07703 [-1, -1, -3, -1, -2, -4, -2, 0, -2, -2]
bitterer -1.9 1.04403 [-1, -2, -3, -1, -1, -4, -3, -1, -2, -1]
bitterest -2.3 1.41774 [-4, -4, -2, -1, 1, -2, -3, -3, -2, -3]
bittering -1.2 0.87178 [0, 0, -1, -2, 0, -2, -1, -2, -2, -2]
bitterish -1.6 0.8 [0, -2, -1, -1, -2, -2, -2, -1, -3, -2]
bitterly -2.0 0.63246 [-2, -2, -1, -1, -2, -2, -3, -2, -2, -3]
bittern -0.2 0.6 [0, 0, -2, 0, 0, 0, 0, 0, 0, 0]
bitterness -1.7 0.45826 [-2, -2, -1, -2, -1, -2, -1, -2, -2, -2]
bitterns -0.4 1.11355 [0, 0, 0, -3, 0, 0, 0, 1, 0, -2]
bitterroots -0.2 0.4 [0, 0, 0, -1, -1, 0, 0, 0, 0, 0]
bitters -0.4 0.4899 [-1, -1, -1, 0, 0, 0, 0, -1, 0, 0]
bittersweet -0.3 0.64031 [0, -1, 0, 0, 0, 0, 0, 0, -2, 0]
bittersweetness -0.6 0.91652 [0, 0, 0, -2, 0, -2, 0, 0, -2, 0]
bittersweets -0.2 0.9798 [-2, 1, 0, 0, 0, -2, 0, 0, 0, 1]
bitterweeds -0.5 0.67082 [0, -2, 0, -1, -1, 0, 0, -1, 0, 0]
bizarre -1.3 1.00499 [-2, 0, 0, -2, 0, -1, -3, -2, -1, -2]
blah -0.4 1.49666 [-2, -1, -1, -1, -1, -1, -1, 3, 2, -1]
blam -0.2 1.16619 [-1, 0, 0, -1, -1, -2, -1, 1, 2, 1]
blamable -1.8 0.4 [-2, -2, -2, -2, -1, -1, -2, -2, -2, -2]
blamably -1.8 0.4 [-2, -2, -2, -2, -1, -1, -2, -2, -2, -2]
blame -1.4 1.42829 [-4, -2, -2, -1, -1, -1, -2, 2, -2, -1]
blamed -2.1 0.53852 [-2, -2, -2, -2, -3, -2, -2, -2, -3, -1]
blameful -1.7 0.45826 [-2, -2, -2, -2, -2, -2, -1, -1, -2, -1]
blamefully -1.6 0.66332 [-1, -2, -1, -1, -2, -1, -1, -2, -2, -3]
blameless 0.7 1.73494 [3, 1, 2, 3, -2, 1, -1, 1, 1, -2]
blamelessly 0.9 1.37477 [2, 0, 2, 0, 1, -1, 1, 4, 0, 0]
blamelessness 0.6 1.35647 [0, 2, 1, 2, 1, 0, 1, -3, 1, 1]
blamer -2.1 0.83066 [-2, -2, -1, -2, -3, -3, -3, -1, -1, -3]
blamers -2.0 0.63246 [-3, -2, -2, -3, -1, -2, -2, -1, -2, -2]
blames -1.7 0.45826 [-2, -2, -1, -2, -2, -2, -2, -1, -1, -2]
blameworthiness -1.6 0.66332 [-2, -2, -1, -2, -2, -1, -3, -1, -1, -1]
blameworthy -2.3 0.78102 [-3, -3, -2, -2, -2, -1, -1, -3, -3, -3]
blaming -2.2 0.6 [-2, -3, -1, -3, -2, -2, -3, -2, -2, -2]
bless 1.8 0.6 [3, 2, 2, 1, 2, 2, 1, 2, 2, 1]
blessed 2.9 0.3 [2, 3, 3, 3, 3, 3, 3, 3, 3, 3]
blesseder 2.0 0.63246 [3, 3, 2, 2, 1, 1, 2, 2, 2, 2]
blessedest 2.8 0.87178 [2, 4, 1, 4, 3, 3, 2, 3, 3, 3]
blessedly 1.7 1.1 [2, 2, 1, -1, 3, 2, 3, 1, 2, 2]
blessedness 1.6 1.35647 [2, 2, 2, 2, 2, 3, 3, -1, -1, 2]
blesser 2.6 0.66332 [1, 3, 2, 3, 3, 3, 2, 3, 3, 3]
blessers 1.9 0.7 [2, 2, 1, 2, 2, 2, 3, 1, 3, 1]
blesses 2.6 0.66332 [1, 3, 3, 3, 3, 3, 2, 3, 2, 3]
blessing 2.2 1.07703 [3, 1, 0, 3, 1, 3, 2, 3, 3, 3]
blessings 2.5 0.92195 [3, 3, 3, 2, 1, 3, 2, 3, 4, 1]
blind -1.7 1.00499 [-4, -1, -1, -2, -1, -1, -3, -2, -1, -1]
bliss 2.7 0.78102 [3, 3, 3, 2, 1, 2, 4, 3, 3, 3]
blissful 2.9 0.83066 [4, 4, 2, 3, 3, 3, 1, 3, 3, 3]
blithe 1.2 1.16619 [2, 2, -1, 1, 1, 2, 2, 2, -1, 2]
block -1.9 1.13578 [-3, -2, -1, -2, 0, 0, -3, -2, -3, -3]
blockbuster 2.9 0.9434 [3, 4, 3, 2, 3, 4, 3, 2, 1, 4]
blocked -1.1 1.13578 [-1, 0, 0, -1, -2, -1, -1, -4, -1, 0]
blocking -1.6 0.91652 [-1, -1, -1, -1, -2, -2, -4, -1, -2, -1]
blocks -0.9 1.13578 [-1, 0, -1, -2, -2, -2, -1, -1, 2, -1]
bloody -1.9 0.7 [-2, -2, -2, 0, -2, -2, -3, -2, -2, -2]
blurry -0.4 1.28062 [-1, -1, -1, -1, 2, -2, -1, 2, 0, -1]
bold 1.6 0.66332 [2, 2, 2, 2, 1, 2, 0, 2, 1, 2]
bolder 1.2 0.6 [2, 1, 1, 1, 1, 2, 1, 2, 0, 1]
boldest 1.6 1.11355 [1, 3, 2, 3, 0, 0, 2, 3, 1, 1]
boldface 0.3 0.64031 [1, 0, 0, 0, 0, 0, 0, 2, 0, 0]
boldfaced -0.1 1.22066 [0, 0, 0, 2, -1, -2, 2, -1, -1, 0]
boldfaces 0.1 1.3 [0, 0, 0, 2, -2, -2, 2, 1, 0, 0]
boldfacing 0.1 0.7 [0, 0, -1, 2, 0, 0, 0, 0, 0, 0]
boldly 1.5 1.62788 [3, -2, -1, 1, 2, 3, 2, 3, 2, 2]
boldness 1.5 1.0247 [0, 1, 3, 1, 2, 0, 3, 1, 2, 2]
boldnesses 0.9 0.83066 [0, 0, 1, 0, 2, 1, 1, 2, 0, 2]
bolds 1.3 0.78102 [2, 2, 1, 1, 0, 2, 0, 2, 1, 2]
bomb -2.2 0.87178 [-2, -2, -1, -3, -4, -3, -2, -1, -2, -2]
bonus 2.5 0.67082 [2, 2, 2, 3, 4, 3, 2, 2, 3, 2]
bonuses 2.6 0.91652 [2, 2, 3, 4, 3, 4, 3, 1, 2, 2]
boost 1.7 0.64031 [1, 1, 2, 2, 2, 3, 1, 1, 2, 2]
boosted 1.5 1.5 [-1, 1, 0, 2, 1, 2, 3, 3, 4, 0]
boosting 1.4 0.91652 [1, 1, 3, 0, 2, 2, 0, 2, 1, 2]
boosts 1.3 0.9 [1, 1, 1, 1, 3, 0, 1, 1, 3, 1]
bore -1.0 0.44721 [-1, -2, 0, -1, -1, -1, -1, -1, -1, -1]
boreal -0.3 0.9 [0, 0, 0, 0, 1, -2, 0, 0, -2, 0]
borecole -0.2 0.74833 [1, 0, 0, 0, -1, -2, 0, 0, 0, 0]
borecoles -0.3 0.45826 [-1, 0, 0, 0, 0, 0, -1, 0, -1, 0]
bored -1.1 0.9434 [-2, -1, -2, -1, 0, 0, -3, 0, -1, -1]
boredom -1.3 0.45826 [-1, -1, -1, -1, -2, -1, -1, -2, -2, -1]
boredoms -1.1 0.83066 [-1, -1, -1, -2, 1, -1, -2, -1, -1, -2]
boreen 0.1 0.3 [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
boreens 0.2 0.6 [0, 0, 0, 2, 0, 0, 0, 0, 0, 0]
boreholes -0.2 0.74833 [0, 0, 0, 0, 0, 1, -1, 0, -2, 0]
borer -0.4 0.4899 [0, -1, 0, 0, -1, -1, 0, 0, 0, -1]
borers -1.2 0.9798 [-1, 0, -2, -1, -1, -3, -2, 0, -2, 0]
bores -1.3 0.78102 [-2, -1, -2, -1, -1, -1, -3, 0, -1, -1]
borescopes -0.1 0.83066 [-1, 0, -1, 2, 0, 0, 0, 0, -1, 0]
boresome -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -1, -2, -1]
boring -1.3 0.45826 [-1, -1, -1, -1, -1, -2, -1, -1, -2, -2]
bother -1.4 0.91652 [-1, -1, -1, -2, -3, -3, -1, -1, -1, 0]
botheration -1.7 0.64031 [-1, -1, -1, -2, -2, -1, -2, -2, -2, -3]
botherations -1.3 0.64031 [-2, -2, -2, -1, -2, 0, -1, -1, -1, -1]
bothered -1.3 0.45826 [-1, -1, -2, -1, -2, -1, -1, -1, -1, -2]
bothering -1.6 0.4899 [-2, -1, -2, -2, -1, -1, -1, -2, -2, -2]
bothers -0.8 0.9798 [-1, -2, -1, -1, 2, -1, -1, -1, -1, -1]
bothersome -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -2, -1, -1]
boycott -1.3 0.45826 [-2, -1, -1, -1, -1, -2, -1, -1, -2, -1]
boycotted -1.7 0.64031 [-1, -2, -2, -3, -1, -1, -2, -2, -2, -1]
boycotting -1.7 0.64031 [-2, -2, -2, 0, -2, -1, -2, -2, -2, -2]
boycotts -1.4 0.91652 [-2, -2, -2, -2, -1, -2, -1, 1, -1, -2]
brainwashing -1.5 1.28452 [-2, -2, -2, -3, -1, -2, 2, -1, -2, -2]
brave 2.4 0.8 [2, 3, 4, 3, 1, 3, 2, 2, 2, 2]
braved 1.9 0.83066 [3, 1, 3, 1, 1, 2, 3, 2, 2, 1]
bravely 2.3 0.78102 [1, 3, 2, 2, 2, 4, 2, 2, 2, 3]
braver 2.4 0.8 [3, 2, 2, 1, 4, 2, 3, 3, 2, 2]
braveries 2.0 1.0 [2, 4, 2, 3, 1, 1, 2, 3, 1, 1]
bravery 2.2 0.74833 [1, 2, 2, 2, 3, 2, 3, 3, 1, 3]
braves 1.9 0.83066 [3, 1, 3, 1, 2, 2, 3, 2, 1, 1]
bravest 2.3 0.64031 [1, 3, 3, 2, 3, 2, 3, 2, 2, 2]
breathtaking 2.0 1.26491 [3, 1, 3, 2, -1, 1, 2, 3, 3, 3]
bribe -0.8 1.98997 [-3, 0, -1, -2, -1, -2, -4, 1, 3, 1]
bright 1.9 0.7 [2, 2, 1, 2, 1, 2, 1, 3, 3, 2]
brighten 1.9 0.7 [2, 1, 1, 2, 3, 2, 1, 2, 2, 3]
brightened 2.1 0.83066 [2, 3, 1, 1, 2, 2, 3, 1, 3, 3]
brightener 1.0 1.18322 [0, 0, 0, 1, 0, 1, 2, 0, 3, 3]
brighteners 1.0 0.89443 [0, 1, 0, 1, 1, 3, 0, 1, 2, 1]
brightening 2.5 0.92195 [2, 3, 2, 1, 2, 3, 4, 4, 2, 2]
brightens 1.5 0.5 [2, 1, 1, 2, 2, 1, 2, 2, 1, 1]
brighter 1.6 0.66332 [1, 1, 1, 2, 2, 2, 1, 2, 1, 3]
brightest 3.0 0.63246 [3, 3, 2, 3, 4, 3, 2, 3, 4, 3]
brightly 1.5 0.67082 [2, 3, 1, 2, 1, 1, 2, 1, 1, 1]
brightness 1.6 0.91652 [2, 2, 1, 1, 1, 3, 3, 0, 2, 1]
brightnesses 1.4 0.91652 [2, 3, 1, 2, 1, 1, 0, 0, 2, 2]
brights 0.4 0.66332 [0, 0, 2, 0, 0, 1, 0, 0, 1, 0]
brightwork 1.1 0.83066 [1, 0, 1, 2, 1, 0, 3, 1, 1, 1]
brilliance 2.9 0.83066 [4, 3, 2, 4, 4, 3, 2, 3, 2, 2]
brilliances 2.9 0.83066 [3, 4, 3, 4, 4, 2, 3, 2, 2, 2]
brilliancies 2.3 1.18743 [1, 4, 1, 3, 3, 2, 1, 3, 4, 1]
brilliancy 2.6 1.0198 [4, 3, 2, 4, 2, 3, 1, 3, 1, 3]
brilliant 2.8 0.6 [2, 3, 3, 2, 3, 3, 4, 2, 3, 3]
brilliantine 0.8 1.16619 [-1, 3, 1, 0, 1, 0, 2, 0, 2, 0]
brilliantines 2.0 1.34164 [0, 1, 4, 2, 3, 1, 3, 0, 3, 3]
brilliantly 3.0 0.44721 [3, 2, 3, 3, 3, 3, 3, 3, 4, 3]
brilliants 1.9 0.83066 [3, 1, 2, 1, 2, 1, 3, 2, 1, 3]
brisk 0.6 0.8 [0, 0, 0, 0, 1, 1, 0, 2, 0, 2]
broke -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -1, -2, -2]
broken -2.1 0.53852 [-2, -2, -2, -2, -3, -2, -1, -3, -2, -2]
brooding 0.1 1.3 [3, 0, -1, -1, -1, 1, 1, -1, 1, -1]
brutal -3.1 0.7 [-3, -3, -4, -2, -3, -4, -3, -4, -3, -2]
brutalise -2.7 1.1 [-4, -3, -3, -4, -3, -2, -2, -3, 0, -3]
brutalised -2.9 0.83066 [-3, -3, -2, -3, -3, -4, -4, -1, -3, -3]
brutalises -3.2 0.4 [-3, -3, -3, -3, -3, -4, -4, -3, -3, -3]
brutalising -2.8 0.74833 [-3, -3, -4, -3, -2, -3, -3, -3, -1, -3]
brutalities -2.6 1.0198 [-4, -2, -2, -4, -2, -4, -2, -3, -1, -2]
brutality -3.0 0.63246 [-2, -3, -4, -2, -3, -3, -3, -4, -3, -3]
brutalization -2.1 2.16564 [-3, -2, -4, -2, -4, -4, 2, -3, 2, -3]
brutalizations -2.3 0.64031 [-2, -2, -3, -2, -1, -3, -3, -2, -2, -3]
brutalize -2.9 0.7 [-3, -4, -3, -3, -2, -2, -3, -4, -2, -3]
brutalized -2.4 0.4899 [-3, -2, -2, -3, -2, -2, -3, -3, -2, -2]
brutalizes -3.2 0.6 [-4, -4, -3, -2, -3, -4, -3, -3, -3, -3]
brutalizing -3.4 0.66332 [-4, -3, -4, -3, -4, -4, -3, -4, -2, -3]
brutally -3.0 0.44721 [-3, -3, -3, -3, -3, -3, -3, -2, -3, -4]
bullied -3.1 0.9434 [-4, -4, -4, -2, -2, -4, -4, -3, -2, -2]
bullshit -2.8 0.6 [-3, -3, -3, -3, -3, -4, -2, -3, -2, -2]
bully -2.2 1.6 [-2, -3, -3, -4, -2, -1, 2, -3, -3, -3]
bullying -2.9 0.7 [-3, -2, -3, -2, -4, -2, -3, -3, -4, -3]
bummer -1.6 0.8 [-3, -1, -1, -1, -3, -1, -1, -2, -2, -1]
buoyant 0.9 0.83066 [0, 1, 1, 2, 1, 0, 0, 2, 0, 2]
burden -1.9 0.53852 [-2, -2, -1, -2, -3, -2, -1, -2, -2, -2]
burdened -1.7 0.45826 [-2, -2, -2, -2, -1, -2, -1, -2, -2, -1]
burdener -1.3 0.45826 [-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
burdeners -1.7 1.00499 [-2, -2, -2, -1, -3, -2, 0, 0, -2, -3]
burdening -1.4 0.66332 [-2, -1, -2, -2, -1, -1, -1, 0, -2, -2]
burdens -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -1, -2, -2]
burdensome -1.8 0.9798 [-1, -1, -3, -2, -1, -2, -2, -1, -4, -1]
bwahaha 0.4 1.0198 [0, 1, 0, 1, 0, 2, -1, -1, 2, 0]
bwahahah 2.5 0.92195 [3, 4, 2, 2, 2, 3, 1, 2, 2, 4]
calm 1.3 0.78102 [1, 1, 0, 1, 2, 3, 2, 1, 1, 1]
calmative 1.1 0.9434 [3, 2, -1, 1, 1, 1, 1, 1, 1, 1]
calmatives 0.5 0.80623 [-1, 1, 0, 1, 0, 0, 1, 2, 0, 1]
calmed 1.6 0.4899 [2, 2, 2, 1, 1, 1, 2, 1, 2, 2]
calmer 1.5 0.67082 [1, 2, 3, 1, 1, 1, 2, 1, 2, 1]
calmest 1.6 0.8 [3, 2, 2, 2, 1, 1, 0, 2, 1, 2]
calming 1.7 0.78102 [2, 1, 3, 2, 2, 1, 3, 1, 1, 1]
calmly 1.3 0.9 [0, 0, 1, 3, 2, 2, 1, 1, 2, 1]
calmness 1.7 0.9 [1, 1, 1, 2, 2, 2, 1, 4, 1, 2]
calmnesses 1.6 0.4899 [1, 2, 1, 2, 1, 2, 2, 2, 1, 2]
calmodulin 0.2 0.4 [0, 0, 0, 0, 0, 0, 1, 0, 0, 1]
calms 1.3 0.64031 [2, 1, 1, 2, 0, 1, 1, 2, 2, 1]
can't stand -2.0 0.63246 [-2, -2, -2, -1, -1, -2, -3, -2, -2, -3]
cancel -1.0 0.63246 [-2, -1, -1, -1, -1, 0, -1, 0, -2, -1]
cancelled -1.0 0.44721 [-1, -1, -1, -1, 0, -1, -1, -2, -1, -1]
cancelling -0.8 0.74833 [0, 0, -1, 0, -1, -1, 0, -2, -1, -2]
cancels -0.9 0.53852 [0, -1, 0, -1, -1, -1, -1, -1, -2, -1]
cancer -3.4 0.8 [-2, -4, -3, -4, -4, -2, -3, -4, -4, -4]
capable 1.6 0.4899 [1, 2, 2, 2, 1, 1, 2, 2, 1, 2]
captivated 1.6 0.4899 [2, 1, 2, 2, 2, 2, 1, 2, 1, 1]
care 2.2 0.74833 [2, 1, 2, 1, 2, 2, 3, 3, 3, 3]
cared 1.8 0.74833 [1, 2, 1, 3, 1, 2, 2, 2, 3, 1]
carefree 1.7 0.64031 [1, 1, 2, 2, 2, 2, 1, 1, 2, 3]
careful 0.6 1.11355 [3, 0, 0, 0, 1, 0, -1, 2, 1, 0]
carefully 0.5 0.67082 [1, 0, 1, 1, 0, 1, 0, 1, 1, -1]
carefulness 2.0 0.44721 [3, 2, 2, 1, 2, 2, 2, 2, 2, 2]
careless -1.5 0.5 [-2, -1, -1, -2, -2, -1, -2, -2, -1, -1]
carelessly -1.0 0.44721 [-1, -1, -1, -2, -1, 0, -1, -1, -1, -1]
carelessness -1.4 0.4899 [-2, -1, -1, -2, -1, -2, -1, -1, -2, -1]
carelessnesses -1.6 1.11355 [-4, -2, -2, -3, -1, 0, -1, -1, -1, -1]
cares 2.0 0.7746 [2, 3, 1, 3, 1, 2, 2, 2, 3, 1]
caring 2.2 0.4 [2, 3, 2, 2, 2, 2, 2, 3, 2, 2]
casual 0.8 0.74833 [1, 1, 0, 1, 0, 2, 0, 1, 2, 0]
casually 0.7 1.00499 [1, 0, 0, 0, 1, 0, 0, 3, 2, 0]
casualty -2.4 0.91652 [-4, -3, -3, -2, -1, -2, -3, -1, -2, -3]
catastrophe -3.4 0.4899 [-3, -3, -3, -4, -4, -3, -3, -3, -4, -4]
catastrophic -2.2 2.22711 [-3, -2, -4, -4, -4, -3, -2, -4, 2, 2]
cautious -0.4 0.66332 [0, 1, -1, 0, 0, 0, -1, -1, -1, -1]
celebrate 2.7 1.00499 [4, 4, 3, 2, 4, 2, 2, 2, 3, 1]
celebrated 2.7 0.78102 [2, 3, 3, 2, 3, 4, 3, 3, 1, 3]
celebrates 2.7 0.64031 [2, 3, 3, 2, 2, 3, 3, 3, 4, 2]
celebrating 2.7 0.64031 [3, 3, 4, 2, 2, 2, 3, 3, 2, 3]
censor -2.0 1.34164 [0, -3, -2, -3, -3, 0, -4, -1, -1, -3]
censored -0.6 1.68523 [-1, -1, -1, 2, -3, -2, -1, -1, -1, 3]
censors -1.2 1.07703 [-1, 0, -3, 0, -1, 0, -1, -2, -1, -3]
certain 1.1 0.7 [1, 0, 2, 0, 2, 2, 1, 1, 1, 1]
certainly 1.4 1.0198 [3, 2, 0, 1, 3, 1, 0, 1, 1, 2]
certainties 0.9 1.44568 [0, -2, 4, 0, 1, 1, 1, 1, 2, 1]
certainty 1.0 0.89443 [2, 1, 0, 1, 0, 0, 2, 2, 2, 0]
chagrin -1.9 0.53852 [-1, -2, -3, -2, -1, -2, -2, -2, -2, -2]
chagrined -1.4 1.2 [-1, -2, 2, -1, -2, -2, -2, -2, -2, -2]
challenge 0.3 1.00499 [1, 0, -1, 1, 1, -1, 1, 0, 2, -1]
challenged -0.4 1.62481 [0, -2, 1, -1, -3, -1, 3, -1, 1, -1]
challenger 0.5 1.43178 [0, 0, 2, -1, -2, 1, 3, 0, 2, 0]
challengers 0.4 1.56205 [0, -2, -1, 1, 1, 2, 3, 2, -1, -1]
challenges 0.3 1.48661 [0, -1, 2, -1, -2, 0, 3, 0, 2, 0]
challenging 0.6 0.91652 [0, 0, 0, 1, 1, -1, 0, 2, 2, 1]
challengingly -0.6 1.68523 [0, -1, -2, 1, -3, 2, -2, -1, 2, -2]
champ 2.1 0.83066 [2, 2, 2, 3, 2, 3, 2, 0, 3, 2]
champac -0.2 0.6 [0, 0, -2, 0, 0, 0, 0, 0, 0, 0]
champagne 1.2 1.07703 [1, 2, 2, 3, 0, 2, 0, 0, 2, 0]
champagnes 0.5 0.92195 [0, 0, 0, 0, 0, 1, 1, 3, 0, 0]
champaign 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
champaigns 0.5 0.67082 [1, 0, 0, 0, 0, 0, 0, 1, 2, 1]
champaks -0.2 0.6 [0, 0, 0, 0, 0, 0, -2, 0, 0, 0]
champed 1.0 0.63246 [1, 1, 2, 1, 1, 2, 1, 0, 0, 1]
champer -0.1 0.53852 [0, -1, 1, 0, 0, 0, 0, -1, 0, 0]
champers 0.5 0.67082 [1, 0, 0, 0, 0, 0, 0, 1, 1, 2]
champerties -0.1 0.83066 [0, -1, 1, 1, 0, 0, 0, 0, -2, 0]
champertous 0.3 0.78102 [0, 0, 0, 1, -1, 2, 1, 0, 0, 0]
champerty -0.2 1.32665 [-2, -1, 0, -1, 0, 0, 0, -2, 2, 2]
champignon 0.4 0.8 [0, 0, 0, 0, 0, 2, 0, 2, 0, 0]
champignons 0.2 0.6 [0, 2, 0, 0, 0, 0, 0, 0, 0, 0]
champing 0.7 1.34536 [0, 2, 0, 3, 1, 1, 2, 0, -2, 0]
champion 2.9 0.83066 [3, 2, 3, 4, 4, 3, 2, 2, 4, 2]
championed 1.2 1.53623 [2, 1, 3, 1, 1, -3, 2, 2, 1, 2]
championing 1.8 0.9798 [1, 3, 2, 0, 3, 1, 2, 2, 1, 3]
champions 2.4 1.42829 [4, 0, 0, 3, 1, 3, 4, 3, 3, 3]
championship 1.9 1.04403 [3, 1, 1, 3, 2, 1, 3, 3, 0, 2]
championships 2.2 0.74833 [2, 2, 1, 2, 3, 2, 4, 2, 2, 2]
champs 1.8 0.4 [2, 2, 2, 2, 1, 2, 1, 2, 2, 2]
champy 1.0 1.0 [3, 0, 0, 0, 0, 2, 1, 2, 1, 1]
chance 1.0 0.7746 [1, 1, 0, 0, 0, 2, 1, 2, 1, 2]
chances 0.8 0.4 [0, 1, 1, 0, 1, 1, 1, 1, 1, 1]
chaos -2.7 0.9 [-2, -2, -3, -1, -4, -3, -3, -2, -3, -4]
chaotic -2.2 1.4 [-3, -2, -1, -2, -3, 1, -2, -2, -4, -4]
charged -0.8 0.87178 [-1, -2, -2, -1, -1, 0, -1, 1, 0, -1]
charges -1.1 0.7 [-2, -2, -2, -1, -1, 0, -1, -1, 0, -1]
charitable 1.7 0.64031 [1, 2, 1, 2, 2, 1, 2, 1, 3, 2]
charitableness 1.9 0.9434 [3, 1, 1, 3, 1, 3, 3, 2, 1, 1]
charitablenesses 1.6 1.74356 [2, 2, 3, 4, 1, -1, -2, 3, 2, 2]
charitably 1.4 0.66332 [1, 2, 1, 2, 2, 1, 0, 1, 2, 2]
charities 2.2 0.6 [3, 3, 2, 2, 1, 2, 2, 3, 2, 2]
charity 1.8 0.87178 [1, 3, 2, 2, 2, 1, 2, 0, 2, 3]
charm 1.7 0.78102 [3, 1, 1, 3, 2, 2, 1, 1, 1, 2]
charmed 2.0 0.63246 [3, 1, 2, 2, 2, 3, 1, 2, 2, 2]
charmer 1.9 0.53852 [3, 2, 2, 2, 2, 2, 1, 1, 2, 2]
charmers 2.1 0.83066 [2, 1, 2, 2, 4, 3, 2, 1, 2, 2]
charmeuse 0.3 0.78102 [0, 0, 0, 1, 0, 2, 1, 0, -1, 0]
charmeuses 0.4 0.66332 [0, 0, 1, 0, 1, 0, 0, 0, 0, 2]
charming 2.8 0.4 [3, 3, 3, 3, 3, 3, 2, 3, 2, 3]
charminger 1.5 0.67082 [2, 3, 1, 2, 1, 1, 2, 1, 1, 1]
charmingest 2.4 0.66332 [2, 3, 3, 1, 3, 2, 3, 3, 2, 2]
charmingly 2.2 0.87178 [2, 2, 2, 1, 2, 2, 3, 3, 4, 1]
charmless -1.8 0.87178 [-3, -1, -3, -1, -1, -1, -2, -1, -3, -2]
charms 1.9 0.7 [1, 2, 3, 2, 1, 2, 3, 1, 2, 2]
chastise -2.5 0.92195 [-4, -3, -2, -1, -4, -3, -2, -2, -2, -2]
chastised -2.2 1.16619 [-2, -3, -2, -4, -1, -1, -3, 0, -3, -3]
chastises -1.7 1.61555 [-3, -3, -3, -1, 1, -2, 1, -1, -2, -4]
chastising -1.7 0.78102 [-2, -3, -2, -2, -2, 0, -1, -1, -2, -2]
cheat -2.0 0.7746 [-2, -3, -3, -2, -2, -1, -1, -1, -2, -3]
cheated -2.3 0.64031 [-2, -4, -2, -2, -2, -2, -3, -2, -2, -2]
cheater -2.5 0.67082 [-2, -4, -2, -3, -2, -2, -3, -2, -3, -2]
cheaters -1.9 0.83066 [-2, -2, -2, -1, -1, -4, -2, -1, -2, -2]
cheating -2.6 0.91652 [-2, -3, -3, -2, -4, -4, -3, -2, -1, -2]
cheats -1.8 0.6 [-3, -1, -2, -1, -2, -1, -2, -2, -2, -2]
cheer 2.3 0.64031 [2, 1, 2, 2, 2, 3, 3, 3, 2, 3]
cheered 2.3 0.78102 [2, 3, 3, 4, 2, 1, 2, 2, 2, 2]
cheerer 1.7 0.45826 [1, 2, 2, 2, 1, 1, 2, 2, 2, 2]
cheerers 1.8 0.87178 [2, 2, 3, 2, 1, 2, 0, 1, 3, 2]
cheerful 2.5 0.67082 [3, 2, 3, 2, 2, 2, 4, 2, 3, 2]
cheerfuller 1.9 0.83066 [3, 3, 2, 3, 2, 1, 1, 2, 1, 1]
cheerfullest 3.2 0.87178 [4, 4, 4, 4, 3, 2, 2, 3, 2, 4]
cheerfully 2.1 0.83066 [3, 2, 2, 2, 1, 3, 1, 3, 1, 3]
cheerfulness 2.1 0.9434 [3, 2, 1, 2, 3, 4, 1, 2, 1, 2]
cheerier 2.6 0.4899 [2, 2, 3, 3, 2, 3, 3, 2, 3, 3]
cheeriest 2.2 0.6 [3, 2, 3, 1, 2, 2, 3, 2, 2, 2]
cheerily 2.5 0.67082 [3, 3, 2, 3, 2, 4, 2, 2, 2, 2]
cheeriness 2.5 0.67082 [3, 2, 4, 2, 3, 2, 3, 2, 2, 2]
cheering 2.3 0.64031 [3, 3, 2, 1, 3, 2, 2, 2, 3, 2]
cheerio 1.2 0.6 [2, 1, 1, 1, 2, 1, 1, 1, 2, 0]
cheerlead 1.7 0.78102 [1, 2, 0, 2, 2, 2, 2, 3, 1, 2]
cheerleader 0.9 0.9434 [1, 1, 0, 2, 1, 0, 0, 1, 0, 3]
cheerleaders 1.2 1.07703 [2, 0, 0, 1, 1, 0, 3, 3, 1, 1]
cheerleading 1.2 1.07703 [2, 2, 0, 0, 1, 0, 3, 2, 0, 2]
cheerleads 1.2 1.07703 [2, 3, 0, 3, 1, 0, 0, 1, 1, 1]
cheerled 1.5 1.11803 [0, 2, 1, 4, 2, 2, 2, 1, 1, 0]
cheerless -1.7 1.1 [-2, -3, -2, -2, -3, -2, -1, -1, 1, -2]
cheerlessly -0.8 1.98997 [-2, 4, -1, -2, -1, -2, -2, -2, 2, -2]
cheerlessness -1.7 1.48661 [-2, -1, -2, -3, -2, -4, -1, 2, -2, -2]
cheerly 2.4 0.66332 [2, 2, 3, 2, 2, 3, 4, 2, 2, 2]
cheers 2.1 1.3 [2, 2, 1, 3, 2, 3, 3, 4, -1, 2]
cheery 2.6 0.66332 [3, 2, 2, 3, 2, 3, 4, 2, 3, 2]
cherish 1.6 1.49666 [0, 3, 3, 3, 2, 2, 2, 1, -2, 2]
cherishable 2.0 1.41421 [-2, 2, 2, 2, 3, 2, 3, 3, 2, 3]
cherished 2.3 0.64031 [3, 2, 2, 3, 2, 2, 1, 3, 2, 3]
cherisher 2.2 0.4 [2, 2, 3, 2, 2, 2, 2, 3, 2, 2]
cherishers 1.9 0.7 [3, 3, 2, 2, 1, 1, 2, 2, 2, 1]
cherishes 2.2 0.74833 [2, 2, 3, 2, 2, 2, 2, 4, 2, 1]
cherishing 2.0 0.7746 [3, 3, 2, 2, 1, 2, 1, 3, 2, 1]
chic 1.1 1.3 [1, 2, 2, -2, 2, 0, 1, 1, 3, 1]
childish -1.2 0.74833 [-1, -1, -2, -3, -1, 0, -1, -1, -1, -1]
chilling -0.1 1.92094 [3, -2, 0, 1, -2, -2, -1, -2, 1, 3]
choke -2.5 0.92195 [-1, -2, -3, -3, -2, -4, -2, -4, -2, -2]
choked -2.1 1.3 [-4, -3, 0, -2, -1, -3, -3, -2, 0, -3]
chokes -2.0 0.89443 [-4, -3, -1, -2, -1, -2, -2, -2, -1, -2]
choking -2.0 1.26491 [-4, -2, -2, -3, -2, -2, -3, -1, 1, -2]
chuckle 1.7 0.45826 [2, 1, 2, 2, 2, 2, 1, 1, 2, 2]
chuckled 1.2 0.9798 [2, 2, 1, 1, 2, 0, 1, 2, -1, 2]
chucklehead -1.9 0.53852 [-2, -2, -1, -3, -2, -2, -2, -2, -1, -2]
chuckleheaded -1.3 1.84662 [-3, -4, -2, 0, 3, -1, -2, 0, -2, -2]
chuckleheads -1.1 0.9434 [-1, -2, 0, -1, -1, -3, 0, 0, -2, -1]
chuckler 0.8 1.07703 [2, 1, -1, 0, 2, 1, 1, 2, -1, 1]
chucklers 1.2 0.87178 [1, 1, 2, 3, 1, 0, 1, 0, 2, 1]
chuckles 1.1 1.13578 [2, 2, -1, 1, 2, 1, 1, 2, -1, 2]
chucklesome 1.1 0.53852 [1, 1, 2, 1, 1, 1, 0, 2, 1, 1]
chuckling 1.4 0.4899 [1, 2, 1, 2, 1, 1, 2, 2, 1, 1]
chucklingly 1.2 0.4 [1, 1, 1, 1, 2, 1, 1, 1, 2, 1]
clarifies 0.9 1.13578 [-2, 1, 0, 2, 1, 2, 2, 1, 1, 1]
clarity 1.7 0.78102 [2, 1, 2, 3, 3, 1, 1, 2, 1, 1]
classy 1.9 0.53852 [1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
clean 1.7 0.78102 [3, 1, 2, 1, 2, 1, 3, 2, 1, 1]
cleaner 0.7 0.78102 [1, 0, 1, 0, 0, 0, 2, 1, 2, 0]
clear 1.6 1.2 [2, 1, 1, 0, 3, 1, 2, 4, 2, 0]
cleared 0.4 0.4899 [0, 0, 1, 1, 0, 0, 0, 0, 1, 1]
clearly 1.7 0.78102 [2, 2, 2, 2, 1, 2, 0, 2, 1, 3]
clears 0.3 0.78102 [0, 1, 0, 0, 0, -1, 1, 2, 0, 0]
clever 2.0 0.7746 [2, 1, 2, 2, 2, 1, 3, 1, 3, 3]
cleverer 2.0 0.44721 [2, 2, 2, 3, 2, 2, 1, 2, 2, 2]
cleverest 2.6 0.91652 [4, 3, 2, 2, 4, 3, 2, 1, 2, 3]
cleverish 1.0 1.18322 [1, 1, 1, 1, 1, 1, 2, 1, -2, 3]
cleverly 2.3 0.45826 [2, 3, 2, 2, 2, 3, 2, 2, 3, 2]
cleverness 2.3 0.9 [2, 4, 2, 2, 1, 3, 3, 3, 1, 2]
clevernesses 1.4 0.66332 [1, 1, 1, 2, 2, 2, 2, 0, 2, 1]
clouded -0.2 0.9798 [-2, 0, 2, 0, 0, -1, 0, -1, 0, 0]
clueless -1.5 0.5 [-1, -2, -1, -2, -2, -1, -1, -1, -2, -2]
cock -0.6 1.49666 [0, 0, -4, 0, 0, 1, 0, -3, 0, 0]
cocksucker -3.1 0.83066 [-3, -4, -2, -2, -4, -4, -4, -2, -3, -3]
cocksuckers -2.6 1.42829 [-4, -3, -4, -3, -3, 1, -3, -1, -3, -3]
cocky -0.5 1.0247 [2, 0, -1, 0, -1, -2, 0, -1, -1, -1]
coerced -1.5 0.67082 [-1, -2, -2, -2, -1, 0, -1, -2, -2, -2]
collapse -2.2 0.87178 [-3, -1, -2, -4, -3, -2, -2, -2, -1, -2]
collapsed -1.1 1.64012 [-1, -2, -2, -1, -2, -2, 2, 2, -3, -2]
collapses -1.2 0.87178 [-2, -1, -2, 0, -2, 0, 0, -2, -1, -2]
collapsing -1.2 0.6 [-1, -1, -2, -2, -2, -1, 0, -1, -1, -1]
collide -0.3 1.61555 [-3, 0, -1, 3, 0, -1, -1, 2, -1, -1]
collides -1.1 1.22066 [-2, -2, -1, -1, 0, -2, 2, -2, -1, -2]
colliding -0.5 1.36015 [-2, 2, -1, -1, 0, -1, -2, 2, -1, -1]
collision -1.5 0.67082 [-1, -1, -2, -1, -2, -1, -1, -3, -2, -1]
collisions -1.1 0.7 [0, -2, -1, 0, -1, -1, -2, -2, -1, -1]
colluding -1.2 1.32665 [-1, -1, -2, -2, 0, -3, 2, -2, -1, -2]
combat -1.4 1.0198 [0, -2, 0, -2, -2, -2, -1, -3, 0, -2]
combats -0.8 1.16619 [0, -2, -3, -1, 0, 0, 0, -1, 1, -2]
comedian 1.6 1.0198 [1, 0, 2, 3, 2, 0, 3, 1, 2, 2]
comedians 1.2 1.16619 [0, 0, 0, 2, 3, 1, 3, 2, 0, 1]
comedic 1.7 0.64031 [2, 1, 1, 3, 1, 2, 2, 2, 1, 2]
comedically 2.1 0.7 [3, 2, 2, 1, 2, 3, 3, 2, 1, 2]
comedienne 0.6 0.66332 [0, 2, 1, 0, 1, 1, 0, 1, 0, 0]
comediennes 1.6 1.11355 [2, 1, 3, 0, 0, 3, 1, 1, 2, 3]
comedies 1.7 1.00499 [0, 2, 1, 3, 3, 3, 1, 1, 2, 1]
comedo 0.3 0.9 [0, 0, 0, 0, -1, 0, 2, 0, 2, 0]
comedones -0.8 0.9798 [0, 0, 0, -1, 0, -3, 0, -1, -1, -2]
comedown -0.8 1.07703 [-1, -1, -1, 0, -2, -1, 2, -1, -2, -1]
comedowns -0.9 0.53852 [-1, -1, -1, -1, 0, -2, 0, -1, -1, -1]
comedy 1.5 0.67082 [1, 1, 2, 1, 3, 2, 1, 1, 2, 1]
comfort 1.5 0.67082 [1, 3, 1, 2, 1, 1, 2, 1, 1, 2]
comfortable 2.3 0.64031 [1, 2, 3, 2, 2, 3, 3, 3, 2, 2]
comfortableness 1.3 1.48661 [4, 2, 2, 3, 1, 1, 1, -1, -1, 1]
comfortably 1.8 0.74833 [1, 2, 2, 1, 3, 3, 1, 2, 1, 2]
comforted 1.8 0.6 [2, 2, 2, 0, 2, 2, 2, 2, 2, 2]
comforter 1.9 0.53852 [2, 3, 2, 2, 2, 1, 2, 2, 2, 1]
comforters 1.2 0.6 [2, 1, 0, 2, 1, 1, 2, 1, 1, 1]
comforting 1.7 0.64031 [1, 2, 1, 1, 2, 2, 2, 3, 2, 1]
comfortingly 1.7 0.45826 [1, 2, 1, 2, 2, 1, 2, 2, 2, 2]
comfortless -1.8 0.6 [-3, -2, -1, -2, -1, -2, -1, -2, -2, -2]
comforts 2.1 0.7 [3, 1, 3, 1, 2, 2, 3, 2, 2, 2]
commend 1.9 0.7 [1, 2, 2, 1, 2, 1, 2, 3, 2, 3]
commended 1.9 0.9434 [1, 3, 2, 3, 2, 2, 0, 1, 3, 2]
commit 1.2 0.87178 [1, 0, 2, 2, 0, 0, 2, 2, 1, 2]
commitment 1.6 0.91652 [3, 1, 2, 0, 3, 1, 2, 1, 2, 1]
commitments 0.5 0.92195 [1, 3, 0, 0, 0, 0, 0, 0, 0, 1]
commits 0.1 1.13578 [0, -1, 0, 2, 1, -1, 1, 1, -2, 0]
committed 1.1 0.7 [0, 1, 1, 2, 0, 2, 1, 1, 2, 1]
committing 0.3 1.18743 [0, 1, 0, 3, 0, -2, 1, 0, 0, 0]
compassion 2.0 0.7746 [3, 2, 1, 1, 2, 1, 3, 2, 2, 3]
compassionate 2.2 0.87178 [0, 3, 3, 2, 2, 3, 3, 2, 2, 2]
compassionated 1.6 0.66332 [3, 1, 2, 2, 1, 2, 2, 1, 1, 1]
compassionately 1.7 1.41774 [1, 3, 3, 2, 1, 2, 3, 2, -2, 2]
compassionateness 0.9 1.37477 [-3, 2, 2, 1, 1, 1, 2, 1, 1, 1]
compassionates 1.6 0.4899 [2, 1, 2, 2, 1, 2, 2, 1, 1, 2]
compassionating 1.6 0.91652 [3, 0, 2, 1, 3, 1, 2, 1, 2, 1]
compassionless -2.6 0.8 [-3, -2, -2, -3, -4, -3, -1, -2, -3, -3]
compelled 0.2 1.07703 [-1, 0, 0, 0, 1, 2, -1, -1, 2, 0]
compelling 0.9 0.94339 [1, 1, 1, 0, 1, 2, 2, -1, 2, 0]
competent 1.3 0.78102 [1, 3, 1, 1, 2, 1, 1, 0, 2, 1]
competitive 0.7 0.9 [0, 2, 0, 2, 0, 1, 0, 0, 0, 2]
complacent -0.3 1.1 [2, -1, -1, 1, -1, -1, -1, 1, -1, -1]
complain -1.5 0.67082 [-1, -1, -1, -2, -1, -2, -3, -2, -1, -1]
complainant -0.7 0.78102 [0, 0, -1, 0, 0, -2, 0, -1, -2, -1]
complainants -1.1 1.3 [-2, -1, 0, -2, -3, -2, -1, 1, -2, 1]
complained -1.7 0.64031 [-1, -3, -2, -2, -1, -1, -2, -2, -1, -2]
complainer -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -2, -1, -2]
complainers -1.3 1.00499 [-2, -1, -1, -2, -3, 1, -1, -1, -2, -1]
complaining -0.8 1.249 [-2, -1, -1, -1, -2, -1, -1, 2, 1, -2]
complainingly -1.7 0.64031 [-1, -2, -1, -2, -1, -2, -1, -2, -3, -2]
complains -1.6 0.66332 [-1, -2, -1, -2, -2, -3, -1, -1, -1, -2]
complaint -1.2 1.249 [-1, -1, -2, -2, -1, -3, -1, -1, 2, -2]
complaints -1.7 0.45826 [-2, -2, -2, -1, -2, -2, -2, -1, -1, -2]
compliment 2.1 0.7 [2, 2, 3, 1, 2, 3, 3, 1, 2, 2]
complimentarily 1.7 0.45826 [2, 2, 2, 2, 1, 1, 2, 1, 2, 2]
complimentary 1.9 0.7 [1, 2, 2, 1, 2, 1, 2, 3, 3, 2]
complimented 1.8 1.4 [3, 2, 2, 2, 3, 2, -2, 3, 1, 2]
complimenting 2.3 0.64031 [2, 2, 1, 3, 3, 2, 2, 3, 3, 2]
compliments 1.7 0.45826 [2, 1, 2, 2, 1, 2, 2, 1, 2, 2]
comprehensive 1.0 0.63246 [1, 1, 1, 0, 2, 2, 1, 0, 1, 1]
conciliate 1.0 1.18322 [2, 1, 1, 0, 2, 2, -2, 2, 1, 1]
conciliated 1.1 0.9434 [1, 3, 0, 0, 2, 0, 2, 1, 1, 1]
conciliates 1.1 0.9434 [1, 3, 0, 0, 2, 0, 2, 1, 1, 1]
conciliating 1.3 0.78102 [2, 2, 1, 1, 2, 0, 2, 1, 2, 0]
condemn -1.6 1.0198 [-2, -2, -1, -2, -2, 1, -2, -3, -1, -2]
condemnation -2.8 0.9798 [-3, -4, -2, -4, -2, -4, -2, -1, -3, -3]
condemned -1.9 1.81384 [2, -2, -2, -3, -2, -3, -3, -4, 1, -3]
condemns -2.3 0.64031 [-2, -2, -3, -3, -3, -2, -2, -3, -1, -2]
confidence 2.3 0.64031 [3, 3, 3, 3, 1, 2, 2, 2, 2, 2]
confident 2.2 0.87178 [1, 3, 3, 2, 3, 1, 3, 2, 1, 3]
confidently 2.1 0.53852 [2, 2, 3, 1, 2, 2, 2, 2, 3, 2]
conflict -1.3 0.45826 [-2, -2, -1, -2, -1, -1, -1, -1, -1, -1]
conflicting -1.7 0.64031 [-1, -2, -3, -1, -2, -1, -2, -1, -2, -2]
conflictive -1.8 0.6 [-2, -2, -2, -2, -1, -1, -3, -2, -1, -2]
conflicts -1.6 0.8 [-1, -1, -1, -2, -1, -1, -3, -2, -1, -3]
confront -0.7 0.78102 [0, -1, -1, 0, 1, -1, -1, -2, -1, -1]
confrontation -1.3 1.55242 [-3, -2, -3, -2, -1, -2, 1, 2, -1, -2]
confrontational -1.6 0.66332 [-1, -2, -1, -2, -1, -2, -1, -2, -3, -1]
confrontationist -1.0 1.34164 [-1, -2, -2, 2, 1, -1, -2, -1, -2, -2]
confrontationists -1.2 1.46969 [-2, -3, -1, -2, 2, 1, -1, -2, -2, -2]
confrontations -1.5 1.0247 [-1, -3, -2, -1, -3, 0, -2, -2, 0, -1]
confronted -0.8 0.74833 [-1, -2, -1, -1, -1, -1, -1, -1, 1, 0]
confronter -0.3 1.1 [0, -2, 1, -2, 0, -1, -1, 0, 1, 1]
confronters -1.3 1.26886 [-3, -2, -2, -2, -1, -2, 1, 1, -1, -2]
confronting -0.6 1.11355 [-2, -1, -1, 0, -2, 2, -1, 0, 0, -1]
confronts -0.9 0.53852 [-1, -1, -1, -1, 0, -1, 0, -1, -2, -1]
confuse -0.9 0.3 [-1, -1, -1, -1, -1, -1, -1, -1, 0, -1]
confused -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -1, -2, -2]
confusedly -0.6 1.42829 [-3, -1, -1, 1, -1, -1, -2, 2, 1, -1]
confusedness -1.5 0.67082 [-3, -1, -1, -2, -1, -2, -2, -1, -1, -1]
confuses -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -1, -2, -2]
confusing -0.9 0.7 [-1, -1, -1, -2, -1, -1, 1, -1, -1, -1]
confusingly -1.4 0.66332 [-1, -1, -1, -1, -3, -1, -2, -1, -1, -2]
confusion -1.2 0.6 [-1, -1, -1, -1, -1, -2, 0, -1, -2, -2]
confusional -1.2 0.6 [-2, -2, 0, -1, -2, -1, -1, -1, -1, -1]
confusions -0.9 1.04403 [-1, -2, -1, -1, -1, 2, -2, -1, -1, -1]
congrats 2.4 0.91652 [1, 3, 3, 3, 2, 2, 4, 1, 2, 3]
congratulate 2.2 1.249 [3, 3, 2, 3, -1, 2, 1, 3, 3, 3]
congratulation 2.9 0.9434 [3, 3, 3, 2, 4, 2, 4, 3, 4, 1]
congratulations 2.9 0.53852 [2, 3, 3, 3, 3, 3, 3, 3, 4, 2]
consent 0.9 0.7 [0, 0, 1, 1, 1, 2, 1, 2, 0, 1]
consents 1.0 0.63246 [0, 2, 1, 0, 1, 1, 1, 2, 1, 1]
considerate 1.9 1.22066 [2, -1, 3, 2, 2, 2, 4, 1, 2, 2]
consolable 1.1 0.53852 [1, 1, 2, 1, 0, 1, 1, 1, 2, 1]
conspiracy -2.4 0.66332 [-2, -2, -3, -3, -2, -2, -4, -2, -2, -2]
constrained -0.4 1.0198 [-1, 0, -1, -1, -1, -1, 2, -1, 1, -1]
contagion -2.0 1.18322 [-1, 0, -2, -1, -2, -4, -2, -4, -2, -2]
contagions -1.5 0.92195 [-2, -2, -2, -2, 1, -2, -1, -1, -2, -2]
contagious -1.4 0.91652 [-2, -2, -2, 0, -1, -1, -2, 0, -1, -3]
contempt -2.8 0.6 [-3, -3, -4, -2, -3, -2, -3, -3, -2, -3]
contemptibilities -2.0 1.09545 [-2, 1, -2, -2, -3, -3, -3, -2, -2, -2]
contemptibility -0.9 1.51327 [-2, -1, -3, -1, 0, -3, -1, 1, 2, -1]
contemptible -1.6 1.68523 [-2, -2, -3, -3, -2, -3, -1, -3, 1, 2]
contemptibleness -1.9 0.7 [-2, -2, -1, -2, -2, -1, -1, -2, -3, -3]
contemptibly -1.4 1.49666 [-3, 0, -2, -3, -2, -2, -1, -3, 1, 1]
contempts -1.0 1.48324 [-2, -2, -1, 0, 1, -1, -2, -3, 2, -2]
contemptuous -2.2 1.83303 [-2, -3, -4, -2, -3, -3, 3, -2, -3, -3]
contemptuously -2.4 0.8 [-1, -3, -2, -3, -3, -2, -1, -3, -3, -3]
contemptuousness -1.1 1.57797 [-3, -1, -2, 3, -2, 0, -1, -1, -2, -2]
contend 0.2 1.07703 [0, 0, 1, 1, -2, 1, -1, 0, 2, 0]
contender 0.5 1.0247 [1, 3, -1, 0, 0, 1, 0, 1, 0, 0]
contented 1.4 1.56205 [1, 1, 3, 2, 2, 2, -3, 2, 2, 2]
contentedly 1.9 0.9434 [3, 1, 2, 3, 2, 3, 0, 2, 1, 2]
contentedness 1.4 0.4899 [1, 2, 1, 1, 2, 2, 2, 1, 1, 1]
contentious -1.2 1.4 [-2, -2, -2, -2, -2, -2, -1, 2, 1, -2]
contentment 1.5 1.74642 [2, 1, 3, 2, 2, 1, 2, 4, 1, -3]
contestable 0.6 1.0198 [2, -1, 1, 0, 1, -1, 1, 1, 2, 0]
contradict -1.3 0.78102 [-2, -1, -1, 0, -2, 0, -1, -2, -2, -2]
contradictable -1.0 0.63246 [-1, -1, -2, 0, -1, -1, 0, -1, -1, -2]
contradicted -1.3 0.45826 [-1, -1, -1, -1, -2, -1, -2, -1, -1, -2]
contradicting -1.3 0.9 [-2, -2, -2, -1, -2, -1, 1, -1, -1, -2]
contradiction -1.0 0.89443 [-1, 0, 0, -1, 0, -3, -2, -1, -1, -1]
contradictions -1.3 0.78102 [0, -2, -1, -2, -1, -2, -1, 0, -2, -2]
contradictious -1.9 1.04403 [-2, -3, 0, -3, -3, -1, -2, -1, -1, -3]
contradictor -1.0 0.63246 [-1, -1, -1, -2, -1, -2, 0, 0, -1, -1]
contradictories -0.5 1.11803 [-1, 0, -1, -2, 2, 1, -1, -1, -1, -1]
contradictorily -0.9 1.3 [0, -1, -1, -1, -3, -1, 1, 1, -3, -1]
contradictoriness -1.4 0.4899 [-2, -1, -1, -1, -2, -1, -1, -2, -2, -1]
contradictors -1.6 0.66332 [-1, -2, -1, -2, -1, -1, -3, -1, -2, -2]
contradictory -1.4 0.4899 [-1, -2, -1, -2, -1, -1, -1, -1, -2, -2]
contradicts -1.4 0.66332 [-1, -2, -1, -2, -2, -2, 0, -1, -1, -2]
controversial -0.8 0.87178 [0, 0, -1, 1, -2, -1, -1, -1, -1, -2]
controversially -1.1 1.04403 [0, -1, -1, -2, -1, -2, -1, 1, -3, -1]
convince 1.0 0.89443 [-1, 2, 2, 1, 1, 0, 1, 1, 2, 1]
convinced 1.7 0.64031 [2, 1, 1, 2, 1, 2, 2, 2, 1, 3]
convincer 0.6 0.66332 [2, 0, 1, 0, 1, 1, 0, 0, 0, 1]
convincers 0.3 0.64031 [0, 0, 0, 0, 0, 1, 0, 0, 0, 2]
convinces 0.7 0.78102 [1, 0, 2, 0, 1, 0, 0, 0, 1, 2]
convincing 1.7 0.9 [2, 2, 0, 3, 3, 1, 1, 2, 2, 1]
convincingly 1.6 0.66332 [3, 2, 1, 1, 1, 2, 2, 1, 2, 1]
convincingness 0.7 1.34536 [0, 0, 0, 1, -2, 2, 0, 3, 1, 2]
convivial 1.2 1.16619 [1, 2, -2, 2, 1, 2, 2, 1, 2, 1]
cool 1.3 0.64031 [1, 1, 2, 1, 1, 1, 2, 2, 2, 0]
cornered -1.1 0.83066 [-1, -1, -3, -1, 0, -1, 0, -1, -2, -1]
corpse -2.7 1.18743 [-3, -4, 0, -4, -3, -3, -3, -1, -3, -3]
costly -0.4 1.0198 [-1, 0, -1, -1, 2, -1, -1, 1, -1, -1]
courage 2.2 0.74833 [2, 3, 1, 2, 3, 2, 3, 3, 1, 2]
courageous 2.4 0.4899 [2, 3, 3, 3, 3, 2, 2, 2, 2, 2]
courageously 2.3 0.78102 [3, 3, 3, 1, 3, 3, 2, 2, 2, 1]
courageousness 2.1 0.7 [3, 3, 1, 2, 1, 2, 2, 2, 3, 2]
courteous 2.3 0.45826 [2, 2, 2, 3, 3, 2, 3, 2, 2, 2]
courtesy 1.5 0.67082 [1, 1, 2, 3, 1, 2, 1, 1, 2, 1]
cover-up -1.2 1.16619 [-1, -1, -4, -1, 0, 0, -2, 0, -1, -2]
coward -2.0 0.63246 [-3, -3, -1, -2, -2, -1, -2, -2, -2, -2]
cowardly -1.6 0.8 [-1, -1, -1, -3, -1, -2, -3, -2, -1, -1]
coziness 1.5 1.11803 [2, 3, 1, 3, 1, 2, 2, -1, 1, 1]
cramp -0.8 1.66132 [0, -1, -1, -3, -3, 1, -2, 1, -2, 2]
crap -1.6 0.66332 [-1, -1, -2, -2, -1, -2, -3, -1, -1, -2]
crappy -2.6 0.8 [-1, -3, -3, -2, -3, -4, -2, -2, -3, -3]
crash -1.7 1.18743 [-2, -3, -2, -1, -2, 0, 0, -1, -4, -2]
craze -0.6 1.49666 [0, -3, -1, -1, -2, 0, 0, -1, 3, -1]
crazed -0.5 2.24722 [-2, -1, 3, -3, -3, 1, 1, -1, 3, -3]
crazes 0.2 1.6 [-2, -1, 3, -1, -1, 1, 2, 0, 2, -1]
crazier -0.1 1.7 [2, -2, -2, 0, -1, 1, 3, 1, -1, -2]
craziest -0.2 2.13542 [2, -2, -3, 3, -2, 0, 2, 2, -2, -2]
crazily -1.5 0.67082 [-2, -1, -1, -2, -1, -3, -2, -1, -1, -1]
craziness -1.6 0.66332 [-2, 0, -2, -1, -2, -1, -2, -2, -2, -2]
crazinesses -1.0 1.48324 [1, -2, -2, 2, -1, 0, -2, -1, -3, -2]
crazing -0.5 0.80623 [0, 0, 0, 0, -2, -1, -2, 0, 0, 0]
crazy -1.4 1.35647 [-2, -1, -1, -2, -3, -2, -3, -1, 2, -1]
crazyweed 0.8 0.9798 [2, 0, 0, 0, 0, 2, 2, 0, 2, 0]
create 1.1 1.13578 [1, 1, 1, 2, 3, 0, 0, 0, 3, 0]
created 1.0 0.7746 [2, 0, 0, 1, 1, 2, 0, 1, 1, 2]
creates 1.1 0.83066 [2, 0, 0, 1, 1, 2, 0, 1, 2, 2]
creatin 0.1 0.53852 [0, 0, 0, 1, 0, 0, 0, 1, -1, 0]
creatine 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 0, 2]
creating 1.2 1.249 [0, 0, 0, 0, 4, 1, 1, 2, 2, 2]
creatinine 0.4 1.2 [0, 0, 0, 4, 0, 0, 0, 0, 0, 0]
creation 1.1 0.83066 [2, 1, 1, 2, 0, 0, 0, 1, 2, 2]
creationism 0.7 0.9 [2, 0, 0, 0, 0, 0, 2, 0, 2, 1]
creationisms 1.1 1.37477 [2, 4, 0, 3, 0, 0, 1, 1, 0, 0]
creationist 0.8 0.9798 [2, 0, 0, 0, 0, 0, 2, 0, 2, 2]
creationists 0.5 0.67082 [0, 0, 0, 1, 1, 0, 2, 0, 1, 0]
creations 1.6 0.91652 [3, 2, 1, 1, 1, 3, 1, 2, 2, 0]
creative 1.9 0.53852 [2, 1, 2, 2, 2, 1, 3, 2, 2, 2]
creatively 1.5 0.80623 [2, 2, 1, 0, 2, 2, 2, 0, 2, 2]
creativeness 1.8 1.07703 [3, 2, 1, 0, 2, 2, 2, 0, 3, 3]
creativities 1.7 1.00499 [2, 2, 1, 0, 3, 2, 2, 0, 2, 3]
creativity 1.6 0.8 [2, 1, 2, 2, 3, 2, 0, 2, 1, 1]
credit 1.6 0.91652 [1, 1, 0, 2, 3, 3, 2, 2, 1, 1]
creditabilities 1.4 1.28062 [0, 3, -1, 2, 2, 2, 1, 2, 0, 3]
creditability 1.9 1.3 [3, 0, 4, 0, 1, 1, 3, 2, 2, 3]
creditable 1.8 0.6 [2, 1, 1, 1, 2, 2, 3, 2, 2, 2]
creditableness 1.2 0.74833 [1, 1, 1, 3, 2, 1, 0, 1, 1, 1]
creditably 1.7 0.78102 [3, 1, 1, 0, 2, 2, 2, 2, 2, 2]
credited 1.5 1.11803 [1, 1, 1, 0, 3, 2, 0, 3, 1, 3]
crediting 0.6 0.4899 [1, 0, 0, 0, 1, 1, 1, 0, 1, 1]
creditor -0.1 1.44568 [-2, -1, 1, -2, -1, 1, 2, -1, 2, 0]
credits 1.5 1.0247 [2, -1, 2, 0, 2, 2, 2, 2, 2, 2]
creditworthiness 1.9 1.3 [4, 0, 3, 1, 2, 1, 4, 2, 1, 1]
creditworthy 2.4 0.66332 [3, 3, 3, 1, 2, 3, 3, 2, 2, 2]
crestfallen -2.5 0.67082 [-2, -3, -3, -2, -3, -2, -4, -2, -2, -2]
cried -1.6 0.8 [-1, -3, -1, -2, -2, -2, 0, -2, -1, -2]
cries -1.7 0.64031 [-1, -3, -1, -2, -2, -2, -1, -2, -1, -2]
crime -2.5 0.80623 [-3, -3, -4, -2, -2, -1, -2, -2, -3, -3]
criminal -2.4 0.91652 [-3, -2, -4, -3, -1, -2, -3, -2, -1, -3]
criminals -2.7 0.9 [-2, -2, -1, -3, -3, -4, -4, -3, -2, -3]
crisis -3.1 0.7 [-3, -2, -4, -3, -3, -2, -4, -4, -3, -3]
critic -1.1 0.53852 [-1, 0, -2, -1, -1, -1, -1, -1, -2, -1]
critical -1.3 0.78102 [-2, 0, -1, -1, -1, -2, -1, -3, -1, -1]
criticise -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -3, -1, -2, -2]
criticised -1.8 0.4 [-2, -2, -1, -2, -2, -2, -1, -2, -2, -2]
criticises -1.3 1.26886 [-2, -1, -1, -1, 2, -1, -3, -2, -2, -2]
criticising -1.7 0.78102 [-1, -1, -1, -3, -1, -2, -2, -2, -1, -3]
criticism -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -3, -1, -2, -2]
criticisms -0.9 1.37477 [-1, -1, 1, -1, -2, -2, -1, -3, 2, -1]
criticizable -1.0 0.63246 [-1, -2, 0, -1, -2, -1, 0, -1, -1, -1]
criticize -1.6 1.0198 [-2, -1, 0, -2, -1, -3, 0, -3, -2, -2]
criticized -1.5 0.92195 [-1, -2, -3, -1, -1, -1, -3, -1, -2, 0]
criticizer -1.5 0.67082 [-1, -2, -2, -1, -1, -1, -3, -1, -2, -1]
criticizers -1.6 0.4899 [-1, -1, -1, -2, -2, -2, -1, -2, -2, -2]
criticizes -1.4 0.66332 [-1, -1, -2, -1, -1, -1, -3, -1, -2, -1]
criticizing -1.5 0.67082 [-1, -1, -1, -2, -2, -1, -2, -1, -3, -1]
critics -1.2 0.6 [-2, 0, -1, -1, -1, -1, -2, -1, -2, -1]
crude -2.7 0.64031 [-2, -2, -3, -4, -2, -3, -3, -2, -3, -3]
crudely -1.2 0.4 [-1, -2, -2, -1, -1, -1, -1, -1, -1, -1]
crudeness -2.0 0.7746 [-3, -1, -1, -1, -3, -2, -3, -2, -2, -2]
crudenesses -2.0 1.0 [-3, -1, -1, -2, -4, -1, -1, -2, -2, -3]
cruder -2.0 0.89443 [-3, -2, -2, -1, -1, -2, -2, -1, -4, -2]
crudes -1.1 0.83066 [-2, -1, -1, -1, 0, 0, -1, -1, -3, -1]
crudest -2.4 1.0198 [-2, -1, -3, -3, -2, -1, -4, -4, -2, -2]
cruel -2.8 1.16619 [-2, -4, -1, -4, -1, -4, -2, -3, -3, -4]
crueler -2.3 0.45826 [-2, -3, -2, -2, -2, -3, -2, -2, -3, -2]
cruelest -2.6 0.8 [-4, -3, -2, -4, -2, -2, -2, -2, -2, -3]
crueller -2.4 0.4899 [-2, -3, -3, -3, -2, -2, -3, -2, -2, -2]
cruellest -2.9 1.04403 [-2, -3, -4, -4, -4, -3, -1, -2, -2, -4]
cruelly -2.8 0.4 [-3, -3, -3, -3, -3, -3, -2, -2, -3, -3]
cruelness -2.9 0.3 [-3, -3, -3, -3, -3, -3, -3, -3, -2, -3]
cruelties -2.3 1.00499 [-4, -3, -2, -1, -2, -2, -1, -4, -2, -2]
cruelty -2.9 0.83066 [-3, -3, -3, -3, -4, -3, -1, -3, -4, -2]
crush -0.6 1.11355 [0, 0, 0, -1, 1, 0, -2, -3, -1, 0]
crushed -1.8 0.6 [-2, -2, -2, -1, -2, -1, -1, -3, -2, -2]
crushes -1.9 0.53852 [-2, -2, -2, -2, -2, -1, -1, -3, -2, -2]
crushing -1.5 1.85742 [-2, -3, -1, -3, 2, -2, -2, -3, 2, -3]
cry -2.1 0.53852 [-2, -2, -2, -1, -2, -2, -3, -3, -2, -2]
crying -2.1 0.7 [-3, -1, -2, -2, -3, -2, -3, -2, -1, -2]
cunt -2.2 2.08806 [-4, -1, -4, -2, 2, -4, -4, -3, 1, -3]
cunts -2.9 1.44568 [-3, -4, -3, -4, -4, -4, -3, 1, -3, -2]
curious 1.3 0.78102 [0, 1, 0, 2, 2, 2, 1, 1, 2, 2]
curse -2.5 0.67082 [-3, -3, -4, -2, -2, -3, -2, -2, -2, -2]
cut -1.1 0.53852 [-2, -1, -1, -1, 0, -1, -1, -1, -2, -1]
cute 2.0 0.63246 [1, 3, 1, 2, 2, 2, 2, 3, 2, 2]
cutely 1.3 1.00499 [3, 1, 1, 2, 2, 1, 1, 2, -1, 1]
cuteness 2.3 0.45826 [2, 2, 2, 3, 2, 3, 3, 2, 2, 2]
cutenesses 1.9 0.53852 [1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
cuter 2.3 0.9 [1, 2, 3, 4, 1, 2, 2, 3, 3, 2]
cutes 1.8 0.87178 [1, 2, 3, 0, 1, 2, 2, 2, 3, 2]
cutesie 1.0 1.18322 [2, 2, 1, 1, 0, 2, 2, -1, 2, -1]
cutesier 1.5 1.20416 [3, -1, 2, 1, 1, 2, 2, 3, 0, 2]
cutesiest 2.2 1.4 [3, 3, 4, 2, 2, 4, 2, -1, 2, 1]
cutest 2.8 0.87178 [2, 3, 3, 4, 4, 3, 1, 3, 2, 3]
cutesy 2.1 0.83066 [2, 1, 2, 2, 4, 3, 1, 2, 2, 2]
cutey 2.1 1.04403 [1, 2, 3, 4, 1, 1, 3, 2, 3, 1]
cuteys 1.5 1.0247 [3, 2, 2, 0, 1, 2, 1, 1, 3, 0]
cutie 1.5 0.80623 [3, 1, 1, 2, 1, 1, 1, 3, 1, 1]
cutiepie 2.0 1.09545 [3, 1, 2, 4, 0, 2, 1, 3, 2, 2]
cuties 2.2 0.6 [3, 2, 2, 2, 3, 1, 2, 2, 3, 2]
cuts -1.2 0.6 [-1, -2, -1, 0, -1, -1, -2, -2, -1, -1]
cutting -0.5 0.67082 [0, -1, 0, 0, 0, -1, -1, -2, 0, 0]
cynic -1.4 0.8 [-1, -2, -1, 0, -2, -3, -1, -1, -1, -2]
cynical -1.6 0.66332 [-1, -1, -2, -2, -1, -1, -2, -2, -1, -3]
cynically -1.3 1.00499 [-2, -1, -1, -1, -3, -2, -1, -2, 1, -1]
cynicism -1.7 0.64031 [-2, -3, -1, -1, -2, -1, -2, -1, -2, -2]
cynicisms -1.7 0.78102 [-1, -1, -3, -1, -2, -3, -1, -2, -2, -1]
cynics -0.3 1.1 [-1, 0, -2, 0, 0, -1, 1, -1, 2, -1]
d-: 1.6 0.66332 [1, 1, 1, 2, 2, 3, 1, 1, 2, 2]
damage -2.2 0.4 [-2, -3, -2, -2, -3, -2, -2, -2, -2, -2]
damaged -1.9 0.53852 [-2, -2, -2, -1, -2, -1, -2, -2, -3, -2]
damager -1.9 0.53852 [-2, -2, -2, -2, -2, -1, -2, -2, -3, -1]
damagers -2.0 0.63246 [-2, -3, -1, -2, -2, -1, -3, -2, -2, -2]
damages -1.9 1.04403 [-1, 0, -2, -2, -2, -4, -2, -1, -3, -2]
damaging -2.3 0.9 [-4, -1, -2, -4, -2, -2, -2, -2, -2, -2]
damagingly -2.0 0.7746 [-2, -2, -2, -2, -1, -3, -3, -1, -3, -1]
damn -1.7 0.64031 [-2, -1, -2, -1, -1, -3, -1, -2, -2, -2]
damnable -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
damnableness -1.8 0.74833 [-2, -2, -2, -2, -1, -2, -2, 0, -3, -2]
damnably -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
damnation -2.6 1.0198 [-3, -2, -3, -4, -4, -3, -1, -2, -1, -3]
damnations -1.4 1.11355 [-2, -1, -2, -3, -2, 0, -1, 1, -2, -2]
damnatory -2.6 1.42829 [-4, -1, -4, -2, -1, -3, -3, 0, -4, -4]
damned -1.6 0.66332 [-1, -1, -3, -1, -2, -2, -1, -2, -1, -2]
damnedest -0.5 1.5 [1, 0, 0, 0, -1, -1, 0, 2, -3, -3]
damnified -2.8 0.9798 [-1, -3, -3, -2, -2, -3, -4, -4, -2, -4]
damnifies -1.8 0.87178 [-2, -2, -1, -2, -3, -2, -2, 0, -1, -3]
damnify -2.2 0.74833 [-2, -2, -4, -2, -3, -2, -1, -2, -2, -2]
damnifying -2.4 0.66332 [-3, -1, -2, -2, -2, -2, -3, -3, -3, -3]
damning -1.4 0.8 [-1, -3, -1, -1, -1, -1, -3, -1, -1, -1]
damningly -2.0 1.61245 [-3, -2, -1, -4, -3, -3, -3, -2, 2, -1]
damnit -2.4 1.0198 [-3, -3, -2, -2, -3, -2, -4, -2, 0, -3]
damns -2.2 0.74833 [-2, -3, -2, -1, -3, -2, -1, -2, -3, -3]
danger -2.4 0.91652 [-3, -1, -2, -3, -3, -3, -2, -1, -2, -4]
dangered -2.4 0.66332 [-3, -3, -2, -3, -3, -2, -1, -2, -3, -2]
dangering -2.5 0.80623 [-1, -2, -2, -3, -4, -3, -3, -2, -2, -3]
dangerous -2.1 0.3 [-2, -3, -2, -2, -2, -2, -2, -2, -2, -2]
dangerously -2.0 0.44721 [-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
dangerousness -2.0 0.44721 [-2, -3, -2, -1, -2, -2, -2, -2, -2, -2]
dangers -2.2 0.87178 [-1, -1, -2, -4, -2, -3, -3, -2, -2, -2]
daredevil 0.5 0.92195 [0, 1, -1, 2, 0, 0, 1, 0, 0, 2]
daring 1.5 1.5 [3, 0, 1, 1, 2, -2, 3, 2, 2, 3]
daringly 2.1 0.7 [3, 1, 2, 1, 3, 2, 2, 3, 2, 2]
daringness 1.4 0.8 [0, 2, 1, 3, 1, 2, 2, 1, 1, 1]
darings 0.4 0.91652 [0, 1, 1, 1, 0, 1, 0, 1, -2, 1]
darkest -2.2 0.6 [-3, -3, -2, -2, -3, -2, -1, -2, -2, -2]
darkness -1.0 0.44721 [-2, -1, -1, -1, -1, 0, -1, -1, -1, -1]
darling 2.8 0.6 [3, 3, 2, 2, 3, 3, 4, 2, 3, 3]
darlingly 1.6 0.66332 [1, 1, 2, 3, 1, 1, 2, 2, 2, 1]
darlingness 2.3 0.45826 [3, 3, 2, 2, 2, 2, 2, 2, 3, 2]
darlings 2.2 0.4 [3, 2, 2, 2, 2, 2, 2, 2, 3, 2]
dauntless 2.3 0.78102 [3, 3, 2, 1, 3, 3, 2, 1, 2, 3]
daze -0.7 0.78102 [-1, 0, -1, -1, 1, -1, -1, 0, -1, -2]
dazed -0.7 0.64031 [0, -1, -1, 0, -1, -1, 0, -1, 0, -2]
dazedly -0.4 1.0198 [-1, -1, -1, -1, -1, 2, -1, 1, 0, -1]
dazedness -0.5 1.11803 [-1, 2, 0, -1, -1, -1, 1, -2, -1, -1]
dazes -0.3 0.78102 [0, -1, 0, 0, 0, -1, 0, 1, 0, -2]
dead -3.3 1.00499 [-4, -4, -1, -4, -4, -3, -4, -2, -3, -4]
deadlock -1.4 0.8 [-2, -2, -1, -3, -1, 0, -2, -1, -1, -1]
deafening -1.2 1.6 [-4, -2, 0, -3, 1, -2, 1, -2, -1, 0]
dear 1.6 1.35647 [3, 3, 2, 2, 2, 2, 1, -2, 1, 2]
dearer 1.9 0.7 [2, 2, 1, 2, 1, 1, 2, 3, 2, 3]
dearest 2.6 0.8 [1, 2, 3, 3, 2, 2, 3, 3, 4, 3]
dearie 2.2 0.6 [2, 2, 2, 3, 2, 1, 3, 2, 3, 2]
dearies 1.0 1.0 [0, 1, 2, -1, 1, 1, 1, 1, 1, 3]
dearly 1.8 1.07703 [3, 4, 2, 1, 1, 0, 1, 2, 2, 2]
dearness 2.0 0.7746 [1, 1, 2, 3, 2, 2, 2, 3, 1, 3]
dears 1.9 0.83066 [3, 2, 2, 2, 1, 2, 2, 2, 0, 3]
dearth -2.3 1.00499 [-2, -2, -1, -4, -2, -1, -2, -4, -3, -2]
dearths -0.9 0.7 [0, -1, 0, -1, -2, -1, -2, 0, -1, -1]
deary 1.9 0.83066 [3, 2, 2, 1, 2, 2, 3, 2, 0, 2]
death -2.9 1.04403 [-3, -4, -4, -3, -3, -1, -1, -4, -3, -3]
debonair 0.8 1.72047 [1, -1, -1, -3, 2, 2, 2, 2, 2, 2]
debt -1.5 1.0247 [-2, -1, -2, -3, 1, -2, -2, -1, -1, -2]
decay -1.7 0.45826 [-2, -2, -2, -1, -2, -1, -1, -2, -2, -2]
decayed -1.6 0.91652 [-2, -2, -2, -2, -2, 1, -1, -2, -2, -2]
decayer -1.6 0.4899 [-2, -2, -2, -1, -2, -1, -1, -1, -2, -2]
decayers -1.6 0.4899 [-2, -1, -1, -2, -1, -2, -2, -2, -1, -2]
decaying -1.7 0.64031 [-1, -1, -2, -2, -1, -2, -3, -2, -2, -1]
decays -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
deceit -2.0 1.34164 [-3, -2, -2, -3, -3, 0, 1, -2, -3, -3]
deceitful -1.9 1.22066 [-3, -2, -2, -3, -1, -3, -1, -3, -2, 1]
deceive -1.7 0.64031 [-1, -2, -2, -1, -2, -1, -1, -3, -2, -2]
deceived -1.9 1.3 [1, -3, -3, -1, -1, -2, -2, -2, -4, -2]
deceives -1.6 1.56205 [-1, 2, -2, -2, -3, -2, 0, -2, -4, -2]
deceiving -1.4 1.68523 [-3, -2, -2, -2, -1, -1, 1, -4, 2, -2]
deception -1.9 1.04403 [-1, -2, -2, -4, -2, 0, -2, -1, -3, -2]
decisive 0.9 0.83066 [2, 2, 0, 1, -1, 1, 1, 1, 1, 1]
dedicated 2.0 0.44721 [2, 2, 2, 2, 2, 2, 2, 1, 3, 2]
defeat -2.0 1.67332 [0, -4, -3, -4, -2, -1, -2, -1, 1, -4]
defeated -2.1 0.83066 [-1, -2, -1, -2, -3, -2, -2, -2, -2, -4]
defeater -1.4 0.8 [-2, -1, -1, -3, -2, -1, -2, -1, 0, -1]
defeaters -0.9 0.9434 [-2, 0, -1, -2, -2, -1, 0, -1, 1, -1]
defeating -1.6 0.66332 [-2, -2, -1, -1, -1, -1, -2, -2, -3, -1]
defeatism -1.3 1.00499 [-1, -2, -2, -1, -1, -3, 1, -2, -1, -1]
defeatist -1.7 0.9 [0, -1, -2, -3, -1, -2, -1, -3, -2, -2]
defeatists -2.1 0.9434 [-3, -2, -1, -2, -2, -1, -3, -4, -1, -2]
defeats -1.3 1.1 [-1, 0, -1, -2, -1, -2, -3, 1, -2, -2]
defeature -1.9 1.22066 [1, -2, -2, -2, -2, -1, -2, -3, -4, -2]
defeatures -1.5 1.20416 [-3, -2, -3, 0, -1, -1, -2, 0, -3, 0]
defect -1.4 0.8 [-2, -1, -2, -1, 0, -2, -3, -1, -1, -1]
defected -1.7 0.64031 [-3, -2, -2, -2, -1, -1, -1, -2, -1, -2]
defecting -1.8 0.6 [-2, -1, -2, -2, -2, -1, -3, -1, -2, -2]
defection -1.4 0.66332 [-1, -2, -1, -2, 0, -1, -2, -2, -2, -1]
defections -1.5 0.67082 [-2, -2, -2, -1, 0, -1, -2, -2, -1, -2]
defective -1.9 0.53852 [-2, -1, -2, -3, -2, -2, -2, -2, -1, -2]
defectively -2.1 0.83066 [-1, -3, -2, -1, -3, -2, -1, -3, -2, -3]
defectiveness -1.8 0.74833 [-1, -1, -2, -2, -2, -3, -1, -1, -2, -3]
defectives -1.8 0.74833 [-3, -3, -1, -2, -2, -1, -2, -1, -1, -2]
defector -1.9 0.53852 [-2, -3, -2, -2, -1, -2, -1, -2, -2, -2]
defectors -1.3 1.26886 [-2, -1, -2, 0, -1, -1, -2, -4, 1, -1]
defects -1.7 0.9 [-1, -2, -1, 0, -2, -3, -2, -2, -1, -3]
defence 0.4 0.91652 [0, 0, 0, 1, 0, 0, 0, 2, 2, -1]
defenceman 0.4 1.11355 [3, 0, 0, 0, 0, -1, 2, 0, 0, 0]
defencemen 0.6 0.91652 [0, 0, 0, 2, 0, 2, 0, 2, 0, 0]
defences -0.2 1.16619 [0, 0, 0, 1, -2, -1, 0, -2, 0, 2]
defender 0.4 1.0198 [0, 0, 2, 1, -1, 2, 0, 1, -1, 0]
defenders 0.3 0.78102 [0, 1, 1, 0, 0, 0, 0, -1, 2, 0]
defense 0.5 0.67082 [0, 1, 0, 1, 2, 1, 0, 0, 0, 0]
defenseless -1.4 0.8 [0, -1, -1, -2, -1, -1, -3, -1, -2, -2]
defenselessly -1.1 0.9434 [-2, -2, -2, -1, 0, -1, 1, -1, -1, -2]
defenselessness -1.3 1.18743 [-3, -1, -3, 0, -2, -1, -1, -2, 1, -1]
defenseman 0.1 1.13578 [2, 0, 0, 0, 0, 0, -1, 0, 2, -2]
defensemen -0.4 0.66332 [0, 0, -2, 0, -1, -1, 0, 0, 0, 0]
defenses 0.7 1.41774 [3, 0, 2, 0, -1, 1, -2, 1, 1, 2]
defensibility 0.4 1.56205 [1, -2, 1, 0, 4, 0, -1, 1, -1, 1]
defensible 0.8 0.87178 [0, 2, 0, 0, 1, 0, 2, 0, 2, 1]
defensibly 0.1 1.13578 [0, -1, 0, 0, -1, 0, 3, 0, -1, 1]
defensive 0.1 1.13578 [2, -1, 0, -1, 2, 0, -1, 1, 0, -1]
defensively -0.6 0.91652 [1, 1, -1, -1, -1, -1, -2, -1, 0, -1]
defensiveness -0.4 1.11355 [2, -1, -1, -1, -1, 0, 0, 1, -2, -1]
defensives -0.3 1.00499 [-1, 0, 0, -1, 0, -1, 0, -2, 2, 0]
defer -1.2 0.6 [-1, -2, -1, 0, -1, -2, -2, -1, -1, -1]
deferring -0.7 0.64031 [0, 0, -2, -1, -1, -1, -1, 0, -1, 0]
defiant -0.9 1.44568 [-1, -2, -1, 2, 1, -2, 0, -1, -3, -2]
deficit -1.7 0.78102 [-3, -3, -2, -1, -2, -2, -1, -1, -1, -1]
definite 1.1 0.7 [2, 1, 0, 1, 0, 1, 1, 2, 2, 1]
definitely 1.7 0.64031 [2, 2, 2, 2, 2, 1, 2, 2, 0, 2]
degradable -1.0 1.26491 [-1, -2, 0, -2, 0, -1, -2, -2, 2, -2]
degradation -2.4 1.0198 [-4, -3, -3, -3, -3, -2, -2, -2, 0, -2]
degradations -1.5 0.67082 [-2, -1, -3, -1, -2, -2, -1, -1, -1, -1]
degradative -2.0 0.63246 [-2, -1, -3, -2, -2, -2, -1, -2, -3, -2]
degrade -1.9 0.7 [-3, -2, -1, -3, -1, -2, -2, -2, -1, -2]
degraded -1.8 0.87178 [-2, -3, -1, 0, -2, -1, -2, -2, -3, -2]
degrader -2.0 0.63246 [-2, -3, -1, -1, -2, -2, -3, -2, -2, -2]
degraders -2.0 0.63246 [-2, -3, -1, -2, -2, -2, -3, -2, -1, -2]
degrades -2.1 0.83066 [-3, -1, -3, -3, -2, -3, -1, -1, -2, -2]
degrading -2.8 0.87178 [-3, -3, -2, -3, -4, -2, -3, -4, -3, -1]
degradingly -2.7 0.64031 [-3, -2, -3, -4, -2, -3, -3, -2, -3, -2]
dehumanize -1.8 2.18174 [-2, -4, -1, -3, 2, -4, -3, 2, -1, -4]
dehumanized -1.9 0.7 [-2, -2, -2, -2, -1, -3, -2, -1, -3, -1]
dehumanizes -1.5 0.67082 [-1, -1, -1, -2, -1, -3, -2, -1, -2, -1]
dehumanizing -2.4 0.91652 [-2, -3, -4, -2, -3, -2, -3, -1, -1, -3]
deject -2.2 0.6 [-2, -3, -2, -3, -2, -2, -3, -2, -1, -2]
dejected -2.2 0.74833 [-2, -1, -2, -3, -2, -2, -2, -2, -2, -4]
dejecting -2.3 0.64031 [-2, -2, -3, -2, -3, -2, -1, -2, -3, -3]
dejects -2.0 0.63246 [-2, -2, -3, -1, -2, -1, -3, -2, -2, -2]
delay -1.3 0.45826 [-1, -1, -1, -2, -1, -1, -2, -1, -2, -1]
delayed -0.9 0.3 [-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
delectable 2.9 0.83066 [3, 4, 3, 2, 3, 4, 3, 1, 3, 3]
delectables 1.4 1.35647 [1, 2, 0, 4, 2, 1, 3, -1, 1, 1]
delectably 2.8 0.74833 [3, 4, 3, 2, 3, 3, 3, 1, 3, 3]
delicate 0.2 0.74833 [2, 0, 0, 0, 0, 0, 1, 0, -1, 0]
delicately 1.0 1.26491 [1, 1, 2, 0, 1, 3, -1, 2, -1, 2]
delicates 0.6 1.35647 [3, 0, 2, 1, -1, -1, 2, 0, 1, -1]
delicatessen 0.4 0.8 [0, 0, 0, 0, 0, 0, 0, 2, 2, 0]
delicatessens 0.4 0.8 [0, 0, 2, 0, 0, 2, 0, 0, 0, 0]
delicious 2.7 0.64031 [3, 2, 3, 4, 2, 3, 3, 3, 2, 2]
deliciously 1.9 0.83066 [2, 2, 1, 3, 1, 3, 2, 3, 1, 1]
deliciousness 1.8 0.87178 [1, 2, 3, 3, 2, 2, 1, 2, 2, 0]
delight 2.9 0.7 [2, 3, 4, 4, 3, 2, 3, 3, 2, 3]
delighted 2.3 0.64031 [3, 3, 2, 3, 2, 1, 3, 2, 2, 2]
delightedly 2.4 0.4899 [2, 3, 3, 3, 2, 2, 3, 2, 2, 2]
delightedness 2.1 0.53852 [2, 2, 2, 2, 3, 2, 3, 2, 1, 2]
delighter 2.0 0.63246 [3, 2, 2, 3, 1, 2, 2, 1, 2, 2]
delighters 2.6 0.66332 [3, 2, 2, 2, 3, 2, 3, 2, 4, 3]
delightful 2.8 0.6 [4, 3, 2, 3, 3, 3, 2, 2, 3, 3]
delightfully 2.7 0.45826 [3, 2, 2, 2, 3, 3, 3, 3, 3, 3]
delightfulness 2.1 0.7 [3, 2, 3, 1, 2, 3, 2, 2, 2, 1]
delighting 1.6 1.90788 [3, 3, 3, 2, 3, 2, 3, -2, -2, 1]
delights 2.0 1.54919 [2, 3, 1, -2, 2, 4, 2, 3, 3, 2]
delightsome 2.3 0.45826 [3, 3, 2, 2, 2, 3, 2, 2, 2, 2]
demand -0.5 0.67082 [0, 0, 0, 0, 0, -1, -1, -1, 0, -2]
demanded -0.9 0.7 [-2, 0, 0, 0, -2, -1, -1, -1, -1, -1]
demanding -0.9 0.53852 [-1, -2, 0, -1, -1, -1, -1, -1, 0, -1]
demonstration 0.4 0.91652 [0, 0, 0, 0, 0, 0, 3, 1, 0, 0]
demoralized -1.6 1.62481 [-2, -2, -2, -2, -3, 2, -2, -3, 1, -3]
denied -1.9 0.53852 [-2, -3, -1, -2, -2, -1, -2, -2, -2, -2]
denier -1.5 0.67082 [-1, -1, -1, -1, -2, -3, -2, -2, -1, -1]
deniers -1.1 1.13578 [-2, 0, -2, -1, -3, 1, 0, -1, -2, -1]
denies -1.8 0.6 [-1, -2, -1, -1, -2, -3, -2, -2, -2, -2]
denounce -1.4 0.91652 [-2, -1, -2, -1, 1, -2, -2, -1, -2, -2]
denounces -1.9 0.7 [-1, -3, -2, -3, -2, -1, -2, -2, -2, -1]
deny -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -2, -1, -2]
denying -1.4 0.4899 [-1, -1, -1, -2, -2, -2, -1, -2, -1, -1]
depress -2.2 0.74833 [-2, -1, -3, -3, -2, -2, -3, -3, -1, -2]
depressant -1.6 1.11355 [-3, -1, 0, -1, 0, -2, -3, -1, -3, -2]
depressants -1.6 0.91652 [-1, -1, -3, -3, -2, 0, -1, -2, -2, -1]
depressed -2.3 0.45826 [-2, -2, -2, -2, -2, -3, -3, -3, -2, -2]
depresses -2.2 0.6 [-2, -2, -2, -2, -3, -3, -1, -2, -3, -2]
depressible -1.7 0.78102 [-2, -1, 0, -3, -2, -2, -2, -1, -2, -2]
depressing -1.6 1.28062 [-2, -2, -2, 2, -3, -1, -2, -2, -2, -2]
depressingly -2.3 0.45826 [-2, -3, -2, -2, -2, -3, -3, -2, -2, -2]
depression -2.7 0.64031 [-3, -2, -2, -2, -2, -3, -4, -3, -3, -3]
depressions -2.2 0.6 [-2, -3, -3, -2, -2, -2, -3, -2, -2, -1]
depressive -1.6 1.11355 [-2, -1, -1, -2, -1, -2, -3, 1, -3, -2]
depressively -2.1 0.53852 [-3, -2, -3, -2, -2, -2, -2, -1, -2, -2]
depressives -1.5 0.5 [-2, -1, -1, -2, -1, -1, -1, -2, -2, -2]
depressor -1.8 1.16619 [-2, -4, -3, 0, 0, -2, -2, -2, -1, -2]
depressors -1.7 0.9 [-1, -1, -1, -2, -1, -2, -4, -2, -2, -1]
depressurization -0.3 0.78102 [1, 0, 0, -1, -1, 0, -2, 0, 0, 0]
depressurizations -0.4 0.91652 [0, 0, 0, 0, 1, -2, -1, 0, -2, 0]
depressurize -0.5 0.80623 [0, 0, -2, 0, -2, 0, 0, 0, 0, -1]
depressurized -0.3 0.64031 [0, 0, 0, 0, 0, 0, -1, 0, -2, 0]
depressurizes -0.3 0.64031 [0, 0, 0, 0, 0, 0, -1, 0, -2, 0]
depressurizing -0.7 1.34536 [2, 0, -1, -1, -2, -2, 1, -2, 0, -2]
deprival -2.1 0.7 [-1, -2, -2, -2, -1, -3, -3, -3, -2, -2]
deprivals -1.2 0.87178 [0, -1, -2, -1, 0, -2, -1, -1, -3, -1]
deprivation -1.8 1.4 [-3, -2, -3, -2, -1, -2, -2, 2, -2, -3]
deprivations -1.8 0.74833 [-1, -2, -3, -1, -2, -1, -2, -2, -3, -1]
deprive -2.1 0.7 [-3, -2, -1, -3, -1, -2, -2, -3, -2, -2]
deprived -2.1 0.7 [-2, -2, -2, -2, -2, -4, -2, -2, -1, -2]
depriver -1.6 0.91652 [-1, -2, -1, -2, -1, -4, -2, -1, -1, -1]
deprivers -1.4 0.66332 [-2, -1, -1, -3, -1, -1, -1, -1, -2, -1]
deprives -1.7 0.64031 [-2, -2, -1, -2, -1, -3, -2, -1, -1, -2]
depriving -2.0 0.0 [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2]
derail -1.2 1.07703 [-1, 1, -1, -2, -1, -2, -1, -3, -2, 0]
derailed -1.4 0.66332 [-1, -2, -2, 0, -1, -1, -2, -1, -2, -2]
derails -1.3 0.78102 [-2, -3, -1, -2, -1, -1, 0, -1, -1, -1]
deride -1.1 1.22066 [-3, -2, -2, -1, -1, -1, 1, -2, -1, 1]
derided -0.8 0.87178 [-2, -1, -2, 0, 0, -1, -1, -1, 1, -1]
derides -1.0 1.0 [-1, -2, -2, 0, 0, 1, -1, -2, -1, -2]
deriding -1.5 0.80623 [-2, -2, 0, 0, -2, -1, -2, -2, -2, -2]
derision -1.2 1.249 [-1, -2, -2, -2, -1, -1, 1, 1, -3, -2]
desirable 1.3 0.45826 [2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
desire 1.7 0.78102 [1, 1, 2, 1, 3, 3, 1, 2, 2, 1]
desired 1.1 1.04403 [1, 1, 0, 3, 1, 0, 1, 1, 3, 0]
desirous 1.3 0.64031 [1, 2, 1, 2, 2, 1, 2, 1, 0, 1]
despair -1.3 1.9 [2, -1, -3, -1, -3, 1, -3, 1, -3, -3]
despaired -2.7 0.45826 [-2, -2, -3, -3, -3, -3, -3, -2, -3, -3]
despairer -1.3 1.1 [-2, -2, -1, -3, -2, 1, -1, -1, 0, -2]
despairers -1.3 1.00499 [-2, -1, -1, 1, -2, -1, -2, -1, -1, -3]
despairing -2.3 0.64031 [-2, -1, -3, -2, -3, -2, -2, -2, -3, -3]
despairingly -2.2 0.74833 [-2, -2, -2, -2, -4, -2, -3, -1, -2, -2]
despairs -2.7 1.00499 [-3, -4, -1, -3, -4, -2, -1, -3, -3, -3]
desperate -1.3 1.34536 [-2, -1, -2, 1, -1, -2, -3, -3, -1, 1]
desperately -1.6 1.11355 [-3, -3, -2, -1, -2, -1, -2, -2, -1, 1]
desperateness -1.5 1.36015 [-1, -2, -2, -2, -3, -3, 1, -2, 1, -2]
desperation -2.0 1.0 [-2, -1, -1, -2, -3, -3, -1, -4, -1, -2]
desperations -2.2 1.66132 [-1, -4, -2, -4, -4, -1, -1, -2, 1, -4]
despise -1.4 1.35647 [-2, -3, -1, -2, -1, 1, -3, 1, -2, -2]
despised -1.7 1.48661 [-2, -1, -3, -2, -3, 1, -3, 1, -2, -3]
despisement -2.4 0.91652 [-3, -3, -2, -1, -3, -1, -4, -2, -2, -3]
despisements -2.5 1.0247 [-2, -2, -3, -2, 0, -3, -4, -3, -3, -3]
despiser -1.8 1.07703 [-2, -1, -3, 1, -2, -2, -3, -2, -2, -2]
despisers -1.6 1.35647 [-3, -3, -1, -3, -2, -1, -1, 1, 0, -3]
despises -2.0 1.26491 [-3, -1, -3, 1, -2, -1, -3, -2, -3, -3]
despising -2.7 0.9 [-4, -3, -3, -4, -1, -2, -3, -2, -2, -3]
despondent -2.1 0.53852 [-2, -2, -2, -3, -2, -2, -1, -3, -2, -2]
destroy -2.5 0.67082 [-2, -3, -3, -1, -3, -3, -3, -2, -2, -3]
destroyed -2.2 0.87178 [-1, -3, -3, -2, -1, -2, -1, -3, -3, -3]
destroyer -2.0 0.89443 [-2, -3, -3, -3, -1, -2, -2, -2, 0, -2]
destroyers -2.3 0.78102 [-1, -3, -3, -3, -2, -2, -3, -3, -1, -2]
destroying -2.6 0.91652 [-2, -4, -4, -2, -1, -3, -2, -3, -2, -3]
destroys -2.6 0.4899 [-3, -3, -3, -2, -2, -2, -3, -3, -2, -3]
destruct -2.4 0.4899 [-3, -3, -3, -2, -2, -2, -3, -2, -2, -2]
destructed -1.9 1.04403 [-4, -1, -2, -2, -2, -1, -3, -2, 0, -2]
destructibility -1.8 1.07703 [-1, -2, -1, -1, -2, -3, -2, 0, -4, -2]
destructible -1.5 1.11803 [-2, -2, -2, -1, 1, -1, -3, -1, -3, -1]
destructing -2.5 0.67082 [-2, -3, -2, -3, -2, -2, -2, -3, -2, -4]
destruction -2.7 0.9 [-4, -3, -4, -3, -2, -2, -3, -1, -2, -3]
destructionist -2.6 0.8 [-3, -4, -2, -2, -2, -3, -3, -1, -3, -3]
destructionists -2.1 0.53852 [-3, -1, -2, -2, -3, -2, -2, -2, -2, -2]
destructions -2.3 0.78102 [-3, -2, -2, -2, -1, -3, -4, -2, -2, -2]
destructive -3.0 0.63246 [-3, -4, -3, -2, -3, -3, -3, -2, -4, -3]
destructively -2.4 0.91652 [-2, -3, -1, -4, -2, -3, -3, -3, -1, -2]
destructiveness -2.4 0.91652 [-3, -3, -2, -4, -1, -2, -3, -2, -1, -3]
destructivity -2.2 1.53623 [2, -3, -3, -4, -3, -2, -2, -2, -2, -3]
destructs -2.4 0.91652 [-2, -1, -2, -4, -4, -2, -3, -2, -2, -2]
detached -0.5 1.20416 [-1, 2, -1, -1, -2, 0, 1, -2, -1, 0]
detain -1.8 0.9798 [-3, -1, -2, -2, -4, -2, -1, -1, -1, -1]
detained -1.7 0.9 [-1, -1, -1, -1, -1, -2, -2, -2, -2, -4]
detention -1.5 0.67082 [-1, -2, -1, -2, -1, -1, -3, -2, -1, -1]
determinable 0.9 0.7 [2, 1, 1, 1, 0, 1, 2, 0, 0, 1]
determinableness 0.2 1.07703 [0, 0, 0, 1, 0, 1, -1, 2, -2, 1]
determinably 0.9 0.83066 [2, 0, 1, 1, 0, 1, 2, 2, 0, 0]
determinacy 1.0 1.0 [0, 0, 0, 3, 1, 1, 2, 1, 0, 2]
determinant 0.2 0.6 [0, 1, -1, 0, 1, 1, 0, 0, 0, 0]
determinantal -0.3 1.41774 [0, 0, 0, -4, 0, -1, 0, 0, 2, 0]
determinate 0.8 0.87178 [2, 1, 0, 0, 0, 2, 2, 0, 1, 0]
determinately 1.2 0.6 [1, 2, 0, 1, 1, 1, 2, 1, 2, 1]
determinateness 1.1 0.9434 [1, 1, 1, 0, 0, 2, 3, 1, 0, 2]
determination 1.7 0.78102 [2, 3, 1, 1, 1, 2, 1, 1, 2, 3]
determinations 0.8 1.16619 [0, 3, 1, 0, 1, 3, 0, 0, 0, 0]
determinative 1.1 1.04403 [2, 0, 3, 2, 1, 1, 0, 0, 2, 0]
determinatives 0.9 1.3 [2, 0, -2, 1, 2, 2, 2, 0, 0, 2]
determinator 1.1 1.04403 [3, 0, 1, 0, 1, 0, 2, 2, 0, 2]
determined 1.4 1.35647 [-2, 1, 3, 2, 2, 2, 3, 1, 1, 1]
devastate -3.1 0.9434 [-4, -4, -1, -4, -4, -3, -3, -3, -2, -3]
devastated -3.0 0.89443 [-4, -3, -3, -4, -3, -1, -3, -4, -3, -2]
devastates -2.8 0.9798 [-4, -3, -2, -4, -2, -1, -3, -4, -3, -2]
devastating -3.3 0.9 [-4, -3, -4, -4, -1, -4, -3, -3, -3, -4]
devastatingly -2.4 1.28062 [-3, -4, -3, 0, -3, 0, -2, -3, -3, -3]
devastation -1.8 2.13542 [-1, -1, -3, -3, -4, -3, -4, 2, 2, -3]
devastations -1.9 1.92094 [-3, -3, -2, -2, 1, -1, 2, -4, -4, -3]
devastative -3.2 1.16619 [-4, -3, 0, -4, -4, -3, -3, -4, -3, -4]
devastator -2.8 0.74833 [-3, -3, -2, -2, -3, -2, -3, -4, -2, -4]
devastators -2.9 1.22066 [-3, -2, -3, -4, -4, -4, 0, -3, -2, -4]
devil -3.4 0.8 [-4, -3, -4, -4, -4, -4, -2, -3, -2, -4]
deviled -1.6 1.0198 [-1, -2, 0, -4, -1, -2, -2, -2, -1, -1]
devilfish -0.8 1.07703 [-2, -3, -1, 0, 0, 0, 0, -2, 0, 0]
devilfishes -0.6 1.0198 [-3, 0, -2, 0, 0, 0, 0, -1, 0, 0]
deviling -2.2 0.87178 [-1, -3, -1, -2, -3, -2, -2, -4, -2, -2]
devilish -2.1 1.04403 [-1, -2, -4, -1, -1, -2, -2, -4, -2, -2]
devilishly -1.6 0.8 [-2, -2, -3, -1, -2, -2, 0, -2, -1, -1]
devilishness -2.3 0.9 [-4, -1, -4, -2, -2, -2, -2, -2, -2, -2]
devilkin -2.4 0.91652 [-3, -1, -2, -3, -2, -4, -2, -3, -3, -1]
devilled -2.3 1.1 [-3, -1, -2, -3, 0, -4, -2, -3, -2, -3]
devilling -1.8 1.249 [-3, -1, -1, -2, -2, -3, -4, -2, 0, 0]
devilment -1.9 0.9434 [-2, -1, -2, -1, -3, -2, -2, -1, -1, -4]
devilments -1.1 0.7 [-2, -1, -2, -2, -1, 0, 0, -1, -1, -1]
devilries -1.6 1.35647 [-1, -1, -2, -4, -3, 0, -2, 0, 0, -3]
devilry -2.8 1.249 [-4, -3, 0, -2, -2, -2, -3, -4, -4, -4]
devils -2.7 0.9 [-3, -1, -3, -2, -2, -3, -4, -3, -2, -4]
deviltries -1.5 1.11803 [-1, -2, 1, -2, 0, -2, -2, -3, -2, -2]
deviltry -2.8 1.32665 [-4, -4, -3, -3, -3, -3, 1, -3, -3, -3]
devilwood -0.8 1.07703 [0, -1, -2, 0, 0, 0, 0, -3, -2, 0]
devilwoods -1.0 0.7746 [-2, 0, -2, -1, -1, 0, -1, -2, 0, -1]
devote 1.4 1.28062 [3, 0, 2, -1, 0, 3, 2, 2, 1, 2]
devoted 1.7 1.34536 [2, -1, 3, 2, 1, 0, 1, 3, 3, 3]
devotedly 1.6 1.35647 [1, 1, 2, 2, 3, 2, 2, -2, 2, 3]
devotedness 2.0 1.0 [0, 3, 2, 1, 3, 2, 2, 3, 1, 3]
devotee 1.6 1.11355 [1, 3, 0, 2, 1, 2, 1, 1, 4, 1]
devotees 0.5 1.0247 [0, 0, 3, 0, 0, 0, 2, 0, 0, 0]
devotement 1.5 1.36015 [2, -1, 3, 2, -1, 1, 2, 3, 2, 2]
devotements 1.1 1.04403 [0, 1, 0, 0, 0, 2, 2, 2, 3, 1]
devotes 1.6 0.91652 [2, 3, 0, 2, 2, 3, 1, 1, 1, 1]
devoting 2.1 0.7 [2, 2, 3, 1, 2, 3, 2, 3, 1, 2]
devotion 2.0 1.0 [2, 0, 1, 2, 4, 3, 2, 2, 2, 2]
devotional 1.2 1.16619 [0, 1, 0, 2, 2, 1, 0, 0, 3, 3]
devotionally 2.2 0.4 [2, 2, 2, 3, 2, 3, 2, 2, 2, 2]
devotionals 1.2 1.07703 [3, 1, 1, 0, -1, 2, 2, 2, 1, 1]
devotions 1.8 0.74833 [2, 3, 1, 2, 1, 3, 1, 2, 1, 2]
diamond 1.4 1.42829 [0, 0, 2, 0, 1, 3, 1, 3, 0, 4]
dick -2.3 1.18743 [-2, -3, -4, -2, 0, -4, -2, -1, -3, -2]
dickhead -3.1 0.53852 [-4, -3, -3, -3, -4, -2, -3, -3, -3, -3]
die -2.9 0.9434 [-4, -3, -1, -2, -4, -3, -3, -3, -2, -4]
died -2.6 1.28062 [-3, -1, -3, -4, -2, -4, -3, -4, -2, 0]
difficult -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -2, -1, -2]
difficulties -1.2 0.4 [-1, -2, -1, -1, -1, -2, -1, -1, -1, -1]
difficultly -1.7 0.45826 [-1, -2, -1, -2, -2, -1, -2, -2, -2, -2]
difficulty -1.4 0.66332 [-2, -2, -2, -2, 0, -1, -1, -2, -1, -1]
diffident -1.0 0.44721 [-1, -1, -1, -1, -1, 0, -2, -1, -1, -1]
dignified 2.2 0.6 [1, 2, 2, 2, 3, 3, 3, 2, 2, 2]
dignifies 2.0 0.7746 [1, 3, 2, 2, 3, 3, 2, 2, 1, 1]
dignify 1.8 0.74833 [1, 2, 2, 1, 3, 3, 1, 2, 2, 1]
dignifying 2.1 1.04403 [1, 1, 1, 3, 1, 4, 2, 3, 2, 3]
dignitaries 0.6 0.91652 [0, 0, 1, 0, 0, 0, 3, 0, 1, 1]
dignitary 1.9 1.3 [0, 3, 4, 2, 3, 1, 1, 3, 0, 2]
dignities 1.4 0.66332 [1, 2, 1, 1, 3, 2, 1, 1, 1, 1]
dignity 1.7 0.9 [0, 3, 2, 1, 2, 1, 2, 3, 1, 2]
dilemma -0.7 1.48661 [2, -1, -2, -2, -1, -1, 2, 0, -2, -2]
dipshit -2.1 0.7 [-1, -2, -2, -3, -2, -3, -3, -2, -2, -1]
dire -2.0 1.26491 [-2, -3, -3, -2, -3, -1, -1, 1, -3, -3]
direful -3.1 0.83066 [-3, -3, -3, -3, -4, -1, -4, -3, -4, -3]
dirt -1.4 0.91652 [-1, -1, -1, 0, -3, -1, -1, -2, -3, -1]
dirtier -1.4 0.4899 [-2, -1, -1, -2, -1, -2, -1, -1, -2, -1]
dirtiest -2.4 1.0198 [-4, -3, -2, -1, -2, -3, -1, -2, -4, -2]
dirty -1.9 0.83066 [-2, -1, -1, -1, -2, -2, -1, -3, -3, -3]
disabling -2.1 0.53852 [-2, -1, -3, -3, -2, -2, -2, -2, -2, -2]
disadvantage -1.8 0.4 [-2, -2, -1, -2, -2, -1, -2, -2, -2, -2]
disadvantaged -1.7 0.64031 [-2, -2, -3, -1, -2, -2, -2, -1, -1, -1]
disadvantageous -1.8 0.74833 [-1, -2, -2, -1, -3, -1, -1, -2, -3, -2]
disadvantageously -2.1 0.83066 [-2, -4, -1, -2, -1, -2, -2, -2, -3, -2]
disadvantageousness -1.6 0.66332 [-1, -1, -3, -2, -1, -1, -2, -1, -2, -2]
disadvantages -1.7 0.64031 [-2, -2, -3, -1, -2, -2, -2, -1, -1, -1]
disagree -1.6 0.4899 [-1, -2, -1, -1, -2, -2, -2, -2, -1, -2]
disagreeable -1.7 0.64031 [-1, -2, -1, -1, -1, -2, -2, -2, -3, -2]
disagreeableness -1.7 0.64031 [-1, -1, -2, -2, -1, -2, -3, -1, -2, -2]
disagreeablenesses -1.9 0.9434 [-2, 0, -3, -1, -2, -3, -2, -1, -3, -2]
disagreeably -1.5 0.67082 [-3, -2, -1, -1, -1, -2, -1, -2, -1, -1]
disagreed -1.3 0.64031 [-1, -2, -1, -1, -2, 0, -1, -2, -1, -2]
disagreeing -1.4 0.8 [-1, 0, -1, -2, -2, -1, -3, -1, -1, -2]
disagreement -1.5 0.67082 [-2, -1, -1, -1, -1, -1, -1, -3, -2, -2]
disagreements -1.8 0.6 [-2, -3, -1, -2, -2, -1, -2, -2, -1, -2]
disagrees -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -2, -1, -2]
disappear -0.9 0.7 [-2, -1, 0, 0, -2, -1, -1, -1, 0, -1]
disappeared -0.9 0.7 [-2, 0, -1, -1, 0, 0, -2, -1, -1, -1]
disappears -1.4 0.8 [-2, -2, 0, 0, -2, -1, -2, -1, -2, -2]
disappoint -1.7 0.64031 [-1, -1, -1, -3, -2, -2, -2, -1, -2, -2]
disappointed -2.1 0.83066 [-1, -3, -2, -2, -3, -1, -1, -2, -3, -3]
disappointedly -1.7 0.78102 [-3, -1, -3, -1, -2, -1, -1, -2, -2, -1]
disappointing -2.2 0.6 [-1, -2, -2, -3, -3, -2, -2, -2, -3, -2]
disappointingly -1.9 0.7 [-2, -1, -1, -3, -2, -3, -2, -2, -1, -2]
disappointment -2.3 1.00499 [-3, -1, -4, -1, -3, -1, -3, -2, -2, -3]
disappointments -2.0 1.09545 [-1, -2, -4, -3, -2, -2, -3, 0, -2, -1]
disappoints -1.6 0.4899 [-2, -1, -1, -1, -2, -1, -2, -2, -2, -2]
disaster -3.1 0.83066 [-2, -4, -4, -3, -3, -2, -4, -3, -2, -4]
disasters -2.6 0.8 [-2, -2, -3, -1, -3, -3, -2, -4, -3, -3]
disastrous -2.9 0.53852 [-2, -2, -3, -3, -3, -3, -4, -3, -3, -3]
disbelieve -1.2 0.87178 [-1, -2, -1, -2, -1, 0, 0, -1, -3, -1]
discard -1.0 0.44721 [-1, -1, -1, -1, 0, -1, -1, -1, -2, -1]
discarded -1.4 0.91652 [-1, -1, -1, -1, 0, -1, -2, -3, -3, -1]
discarding -0.7 0.45826 [-1, 0, -1, -1, -1, 0, -1, 0, -1, -1]
discards -1.0 0.63246 [0, -1, -1, -1, -2, 0, -2, -1, -1, -1]
discomfort -1.8 0.6 [-2, -2, -2, -1, -1, -3, -2, -2, -1, -2]
discomfortable -1.6 0.8 [-1, -1, -1, -2, -3, -1, -2, -1, -3, -1]
discomforted -1.6 0.8 [-1, -1, -1, -2, -3, -3, -1, -1, -1, -2]
discomforting -1.6 1.11355 [-1, -2, -1, -1, -2, 1, -3, -2, -3, -2]
discomforts -1.3 0.9 [-2, -1, -2, -1, -1, -2, -2, -1, 1, -2]
disconsolate -2.3 0.78102 [-1, -2, -2, -3, -2, -2, -2, -4, -3, -2]
disconsolation -1.7 0.45826 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -2]
discontented -1.8 0.9798 [-1, -3, -1, -2, -4, -2, -1, -2, -1, -1]
discord -1.7 0.64031 [-3, -2, -2, -2, -2, -1, -1, -1, -1, -2]
discounted 0.2 1.249 [-1, 0, 3, -1, 0, 1, 1, 1, -1, -1]
discourage -1.8 0.6 [-2, -2, -1, -2, -1, -1, -2, -2, -3, -2]
discourageable -1.2 0.9798 [-1, -2, -1, 1, -1, -1, -1, -2, -3, -1]
discouraged -1.7 0.45826 [-2, -1, -2, -2, -2, -2, -1, -1, -2, -2]
discouragement -2.0 0.89443 [-4, -1, -2, -2, -1, -1, -3, -2, -2, -2]
discouragements -1.8 0.6 [-2, -2, -2, -1, -1, -3, -2, -1, -2, -2]
discourager -1.7 0.78102 [-2, -1, -3, -2, -1, -3, -1, -2, -1, -1]
discouragers -1.9 0.53852 [-2, -2, -2, -2, -1, -1, -3, -2, -2, -2]
discourages -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -1, -3, -2, -2]
discouraging -1.9 0.7 [-2, -2, -2, -3, -1, -1, -2, -1, -2, -3]
discouragingly -1.8 0.87178 [-2, -1, -3, -1, -1, -3, -2, -1, -3, -1]
discredited -1.9 0.53852 [-2, -2, -2, -2, -1, -3, -1, -2, -2, -2]
disdain -2.1 0.3 [-3, -2, -2, -2, -2, -2, -2, -2, -2, -2]
disgrace -2.2 0.74833 [-2, -4, -1, -2, -2, -2, -2, -3, -2, -2]
disgraced -2.0 0.44721 [-3, -2, -2, -2, -1, -2, -2, -2, -2, -2]
disguise -1.0 1.09545 [-2, -1, 0, 0, 0, 0, -3, -2, -2, 0]
disguised -1.1 1.04403 [-3, 0, 0, -1, -1, 0, -3, -1, -1, -1]
disguises -1.0 0.63246 [-2, 0, 0, -1, -1, -1, -2, -1, -1, -1]
disguising -1.3 0.78102 [0, -2, -1, -1, -1, -2, -1, -1, -3, -1]
disgust -2.9 0.7 [-3, -3, -4, -2, -3, -3, -4, -2, -3, -2]
disgusted -2.4 0.91652 [-4, -3, -3, -1, -3, -1, -2, -2, -2, -3]
disgustedly -3.0 0.89443 [-2, -3, -4, -4, -2, -4, -4, -2, -3, -2]
disgustful -2.6 0.4899 [-3, -3, -2, -2, -2, -2, -3, -3, -3, -3]
disgusting -2.4 1.11355 [-3, -2, -3, -4, -1, -3, -1, -4, -1, -2]
disgustingly -2.9 0.7 [-3, -3, -4, -3, -3, -2, -2, -4, -2, -3]
disgusts -2.1 0.53852 [-2, -2, -3, -2, -2, -2, -2, -3, -1, -2]
dishearten -2.0 0.63246 [-3, -1, -2, -3, -2, -2, -1, -2, -2, -2]
disheartened -2.2 0.74833 [-2, -2, -2, -1, -2, -2, -4, -3, -2, -2]
disheartening -1.8 1.32665 [-2, -2, -2, -3, -2, 2, -2, -2, -3, -2]
dishearteningly -2.0 0.63246 [-2, -3, -2, -1, -2, -2, -2, -3, -2, -1]
disheartenment -2.3 0.45826 [-3, -2, -3, -2, -2, -2, -2, -3, -2, -2]
disheartenments -2.2 0.87178 [-2, -3, -3, -3, -3, -1, -1, -1, -2, -3]
disheartens -2.2 0.4 [-3, -2, -2, -2, -3, -2, -2, -2, -2, -2]
dishonest -2.7 0.9 [-3, -2, -1, -4, -3, -2, -4, -3, -3, -2]
disillusion -1.0 1.18322 [-2, 0, -2, -1, -2, 1, -2, -1, 1, -2]
disillusioned -1.9 0.7 [-2, -2, -3, -2, -3, -1, -1, -1, -2, -2]
disillusioning -1.3 1.00499 [-2, -2, 1, -2, 0, -2, -2, -1, -1, -2]
disillusionment -1.7 0.78102 [-1, -3, -2, -3, -1, -2, -2, -1, -1, -1]
disillusionments -1.5 1.0247 [-2, 1, -3, -2, -1, -1, -2, -1, -2, -2]
disillusions -1.6 0.4899 [-2, -2, -2, -1, -1, -1, -2, -2, -1, -2]
disinclined -1.1 0.53852 [0, -1, -1, -1, -1, -1, -1, -2, -2, -1]
disjointed -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
dislike -1.6 0.4899 [-2, -1, -1, -2, -2, -1, -2, -1, -2, -2]
disliked -1.7 0.64031 [-2, -3, -2, -1, -1, -1, -2, -2, -1, -2]
dislikes -1.7 0.78102 [-2, -2, -1, -1, -2, -1, -3, -3, -1, -1]
disliking -1.3 0.45826 [-1, -1, -2, -2, -2, -1, -1, -1, -1, -1]
dismal -3.0 1.0 [-2, -1, -4, -4, -3, -2, -3, -4, -4, -3]
dismay -1.8 0.87178 [-3, -1, -1, -3, -1, -1, -3, -1, -2, -2]
dismayed -1.9 0.9434 [-1, -2, -1, -3, -4, -1, -2, -2, -1, -2]
dismaying -2.2 0.9798 [-2, -3, -2, -3, -3, 0, -2, -1, -3, -3]
dismayingly -1.9 0.83066 [-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
dismays -1.8 1.07703 [-1, -1, -4, -3, -2, -1, -2, 0, -2, -2]
disorder -1.7 0.64031 [-2, -1, -1, -2, -2, -1, -3, -1, -2, -2]
disorganized -1.2 0.4 [-1, -1, -1, -1, -1, -2, -1, -2, -1, -1]
disoriented -1.5 0.67082 [-2, -2, -1, 0, -1, -2, -2, -1, -2, -2]
disparage -2.0 0.44721 [-2, -2, -2, -1, -2, -2, -2, -3, -2, -2]
disparaged -1.4 0.8 [-1, -2, -2, -3, -1, -1, -1, -2, 0, -1]
disparages -1.6 0.8 [-1, -2, -3, -2, -1, -1, -2, -2, 0, -2]
disparaging -2.2 0.6 [-3, -1, -2, -2, -2, -3, -3, -2, -2, -2]
displeased -1.9 0.7 [-3, -2, -1, -1, -3, -2, -2, -1, -2, -2]
dispute -1.7 0.78102 [-1, -3, -1, -1, -2, -1, -2, -2, -3, -1]
disputed -1.4 0.66332 [-2, -2, -2, -2, 0, -1, -1, -1, -1, -2]
disputes -1.1 1.64012 [-2, -2, -2, 2, -3, -1, -2, 2, -1, -2]
disputing -1.7 0.64031 [-2, -2, -2, -2, -1, -1, -3, -1, -1, -2]
disqualified -1.8 0.6 [-1, -2, -1, -2, -1, -2, -2, -3, -2, -2]
disquiet -1.3 0.9 [-1, -2, -2, -1, -1, -1, 1, -2, -2, -2]
disregard -1.1 0.53852 [-1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
disregarded -1.6 0.4899 [-1, -1, -2, -2, -2, -2, -1, -2, -1, -2]
disregarding -0.9 0.53852 [-1, 0, -1, 0, -2, -1, -1, -1, -1, -1]
disregards -1.4 0.4899 [-1, -1, -2, -1, -2, -2, -2, -1, -1, -1]
disrespect -1.8 0.6 [-2, -2, -2, -1, -2, -2, -1, -3, -1, -2]
disrespected -2.0 0.63246 [-2, -2, -2, -2, -2, -3, -3, -1, -1, -2]
disruption -1.5 0.67082 [-1, -1, -1, -2, -1, -3, -2, -2, -1, -1]
disruptions -1.4 0.4899 [-1, -2, -1, -1, -1, -2, -2, -2, -1, -1]
disruptive -1.3 1.00499 [-4, 0, -1, -1, -1, -1, -1, -1, -2, -1]
dissatisfaction -2.2 0.74833 [-4, -2, -2, -2, -1, -3, -2, -2, -2, -2]
dissatisfactions -1.9 0.83066 [-1, -3, -3, -1, -2, -1, -2, -2, -1, -3]
dissatisfactory -2.0 0.63246 [-2, -2, -3, -1, -2, -3, -2, -2, -1, -2]
dissatisfied -1.6 0.66332 [-2, -3, -1, -2, -1, -1, -2, -2, -1, -1]
dissatisfies -1.8 0.74833 [-3, -3, -1, -1, -2, -1, -2, -2, -2, -1]
dissatisfy -2.2 0.6 [-2, -3, -2, -2, -2, -2, -3, -3, -1, -2]
dissatisfying -2.4 0.91652 [-3, -1, -4, -3, -2, -1, -2, -2, -3, -3]
distort -1.3 0.45826 [-2, -1, -1, -1, -2, -1, -1, -1, -1, -2]
distorted -1.7 0.78102 [-3, -1, -3, -1, -2, -1, -2, -2, -1, -1]
distorting -1.1 0.53852 [0, -1, -1, -1, -2, -1, -1, -1, -2, -1]
distorts -1.4 0.4899 [-2, -1, -1, -1, -2, -2, -2, -1, -1, -1]
distract -1.2 0.6 [-1, -1, 0, -2, -1, -1, -1, -2, -1, -2]
distractable -1.3 1.00499 [-2, 0, 1, -2, -2, -1, -1, -2, -2, -2]
distracted -1.4 0.66332 [-1, -3, -1, -2, -2, -1, -1, -1, -1, -1]
distractedly -0.9 0.7 [-1, -1, 0, -2, -1, 0, -1, 0, -1, -2]
distractibility -1.3 1.1 [-1, -1, -3, -1, 0, -3, -2, 0, -2, 0]
distractible -1.5 0.92195 [-1, -2, -1, -1, -4, -1, -1, -1, -2, -1]
distracting -1.2 0.4 [-2, -1, -1, -1, -1, -1, -2, -1, -1, -1]
distractingly -1.4 1.0198 [-4, 0, -1, -1, -1, -2, -1, -1, -2, -1]
distraction -1.6 0.66332 [-1, -2, -2, -1, -1, -3, -1, -1, -2, -2]
distractions -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
distractive -1.6 0.4899 [-2, -2, -1, -1, -1, -1, -2, -2, -2, -2]
distracts -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
distraught -2.6 0.8 [-2, -3, -2, -3, -4, -2, -3, -3, -1, -3]
distress -2.4 0.8 [-1, -2, -2, -3, -3, -4, -3, -2, -2, -2]
distressed -1.8 0.6 [-2, -2, -2, -3, -2, -2, -1, -1, -2, -1]
distresses -1.6 0.66332 [-2, -1, -1, -2, -2, -2, -1, -1, -3, -1]
distressful -2.2 0.6 [-1, -3, -3, -2, -2, -3, -2, -2, -2, -2]
distressfully -1.7 1.1 [-1, -3, -2, 1, -3, -1, -2, -2, -2, -2]
distressfulness -2.4 0.66332 [-2, -3, -2, -3, -3, -3, -2, -1, -3, -2]
distressing -1.7 1.18743 [-3, -3, -1, -1, -2, -2, -3, -2, 1, -1]
distressingly -2.2 0.74833 [-3, -1, -2, -3, -3, -3, -2, -2, -2, -1]
distrust -1.8 0.87178 [-1, -2, -2, -2, -1, -1, -2, -4, -1, -2]
distrusted -2.4 0.66332 [-1, -3, -3, -3, -2, -2, -3, -2, -2, -3]
distrustful -2.1 0.83066 [-1, -3, -2, -2, -3, -1, -1, -3, -2, -3]
distrustfully -1.8 0.6 [-2, -1, -1, -2, -1, -2, -3, -2, -2, -2]
distrustfulness -1.6 0.66332 [-2, -1, -2, -1, -2, -1, -1, -3, -1, -2]
distrusting -2.1 0.83066 [-1, -2, -2, -2, -3, -3, -1, -3, -1, -3]
distrusts -1.3 0.45826 [-1, -1, -2, -1, -2, -1, -2, -1, -1, -1]
disturb -1.7 0.45826 [-2, -1, -1, -2, -2, -2, -1, -2, -2, -2]
disturbance -1.6 0.8 [-1, -2, -1, -2, -2, -3, -1, -2, 0, -2]
disturbances -1.4 0.66332 [-1, -1, -1, -2, -1, -1, -1, -1, -3, -2]
disturbed -1.6 0.4899 [-2, -2, -1, -1, -2, -2, -1, -2, -1, -2]
disturber -1.4 0.4899 [-2, -1, -1, -2, -2, -1, -1, -2, -1, -1]
disturbers -2.1 0.53852 [-2, -2, -2, -2, -2, -3, -3, -2, -1, -2]
disturbing -2.3 0.45826 [-2, -2, -3, -3, -2, -2, -3, -2, -2, -2]
disturbingly -2.3 0.78102 [-2, -2, -1, -3, -4, -3, -2, -2, -2, -2]
disturbs -1.9 0.53852 [-2, -2, -1, -2, -3, -2, -1, -2, -2, -2]
dithering -0.5 0.92195 [0, 0, 0, 0, 1, -1, -2, -2, -1, 0]
divination 1.7 1.1 [2, 3, 0, 1, 2, 1, 3, 3, 2, 0]
divinations 1.1 1.04403 [1, 0, 1, 2, 2, 0, 3, 2, 0, 0]
divinatory 1.6 1.42829 [4, 1, 0, 0, 1, 3, 3, 0, 1, 3]
divine 2.6 0.8 [3, 3, 3, 2, 1, 2, 3, 4, 2, 3]
divined 0.8 1.16619 [1, 0, 3, 0, 0, 1, 0, 3, 0, 0]
divinely 2.9 0.7 [3, 2, 3, 3, 2, 4, 3, 2, 4, 3]
diviner 0.3 0.9 [0, 0, 3, 0, 0, 0, 0, 0, 0, 0]
diviners 1.2 1.16619 [0, 1, 0, 2, 2, 0, 3, 1, 3, 0]
divines 0.8 1.249 [0, 0, 3, 0, 0, 0, 3, 2, 0, 0]
divinest 2.7 0.78102 [3, 4, 2, 4, 2, 2, 2, 3, 2, 3]
diving 0.3 0.45826 [1, 0, 0, 0, 0, 1, 0, 1, 0, 0]
divining 0.9 1.37477 [0, -1, 2, 0, 1, 0, 2, 4, 1, 0]
divinise 0.5 1.36015 [0, 2, 0, 0, 0, 0, 0, -2, 2, 3]
divinities 1.8 1.46969 [1, 3, 3, 4, 0, 0, 1, 0, 3, 3]
divinity 2.7 1.00499 [4, 4, 2, 3, 3, 1, 2, 4, 2, 2]
divinize 2.3 1.00499 [4, 2, 2, 3, 4, 1, 1, 2, 2, 2]
dizzy -0.9 0.3 [-1, -1, -1, -1, -1, -1, -1, -1, 0, -1]
dodging -0.4 0.8 [-1, -1, 0, 1, 0, -1, 0, 0, -2, 0]
dodgy -0.9 0.9434 [-1, -1, -1, -3, -1, 1, -1, -1, -1, 0]
dolorous -2.2 0.6 [-2, -2, -2, -3, -3, -3, -2, -2, -1, -2]
dominance 0.8 0.87178 [2, 0, 0, 2, 1, 0, 0, 1, 2, 0]
dominances -0.1 0.9434 [-1, 0, 1, 1, 0, -1, 0, 1, 0, -2]
dominantly 0.2 1.16619 [-2, 0, 0, -1, 2, 1, 2, 0, 0, 0]
dominants 0.2 1.16619 [0, 2, -1, 0, -1, -1, -1, 1, 1, 2]
dominate -0.5 0.92195 [0, -1, 1, -1, 1, -1, -2, 0, -1, -1]
dominates 0.2 1.249 [1, 0, -2, -1, 1, -1, 2, 0, 0, 2]
dominating -1.2 1.98997 [-4, -1, -4, -1, -3, -1, -1, 2, 2, -1]
domination -0.2 0.9798 [0, 1, 0, -1, -1, -1, 0, 2, -1, -1]
dominations -0.3 0.45826 [0, 0, 0, 0, 0, -1, 0, -1, -1, 0]
dominative -0.7 1.18743 [-1, -1, -2, -2, -1, -1, -1, 2, 1, -1]
dominators -0.4 1.8 [-1, -2, -2, -2, 0, 2, 2, -3, 2, 0]
dominatrices -0.2 1.6 [-3, 0, 2, 0, -2, -2, 0, 1, 2, 0]
dominatrix -0.5 0.92195 [0, 0, -1, 0, 0, 1, 0, -1, -2, -2]
dominatrixes 0.6 1.35647 [0, 4, 0, -1, 0, 2, 1, 0, 0, 0]
doom -1.7 1.26886 [-2, -1, -1, -4, -2, -2, 1, -3, -1, -2]
doomed -3.2 0.74833 [-3, -3, -4, -4, -4, -2, -4, -3, -3, -2]
doomful -2.1 0.7 [-3, -2, -3, -1, -2, -3, -2, -1, -2, -2]
dooming -2.8 0.4 [-2, -3, -2, -3, -3, -3, -3, -3, -3, -3]
dooms -1.1 1.57797 [1, -3, -1, -3, -2, -1, -3, 1, 1, -1]
doomsayer -0.7 1.41774 [2, -1, -2, -1, 1, -2, -2, -1, 1, -2]
doomsayers -1.7 0.78102 [-1, -2, -3, 0, -2, -2, -2, -1, -2, -2]
doomsaying -1.5 1.28452 [-3, -2, -2, 0, 1, 0, -3, -2, -2, -2]
doomsayings -1.5 0.92195 [-2, -1, -1, -2, -2, 0, 0, -2, -3, -2]
doomsday -2.8 1.249 [-3, -1, -3, -4, -3, -4, 0, -4, -3, -3]
doomsdayer -2.2 1.249 [-3, -1, -4, -3, -4, -3, -1, -1, -1, -1]
doomsdays -2.4 1.85472 [-3, -2, -4, 1, -4, -3, -2, -4, 1, -4]
doomster -2.2 0.87178 [-2, -1, -2, -3, -1, -3, -1, -3, -3, -3]
doomsters -1.6 0.8 [-3, -1, -2, -2, 0, -2, -2, -1, -1, -2]
doomy -1.1 1.37477 [2, -2, -1, -2, -2, -2, -2, 1, -1, -2]
dork -1.4 0.66332 [-1, -2, -2, -1, -1, -1, -3, -1, -1, -1]
dorkier -1.1 0.53852 [-1, -1, -1, -1, -2, 0, -1, -2, -1, -1]
dorkiest -1.2 0.74833 [-1, -2, -1, -3, -1, 0, -1, -1, -1, -1]
dorks -0.5 0.67082 [-1, 1, -1, -1, -1, -1, 0, 0, -1, 0]
dorky -1.1 1.04403 [-1, 0, -1, 1, -1, -1, -3, -2, -2, -1]
doubt -1.5 0.5 [-1, -1, -2, -2, -1, -1, -2, -1, -2, -2]
doubtable -1.5 0.5 [-1, -1, -2, -1, -2, -1, -2, -2, -1, -2]
doubted -1.1 1.22066 [-1, -2, -2, 2, -1, -1, -2, -2, -2, 0]
doubter -1.6 0.91652 [-1, -3, -2, -1, -1, -1, -2, -2, -3, 0]
doubters -1.3 0.45826 [-1, -1, -1, -1, -1, -2, -1, -2, -2, -1]
doubtful -1.4 0.4899 [-1, -1, -2, -1, -2, -2, -1, -1, -2, -1]
doubtfully -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
doubtfulness -1.2 0.4 [-2, -1, -1, -1, -1, -1, -1, -1, -1, -2]
doubting -1.4 0.4899 [-1, -1, -1, -2, -2, -1, -1, -1, -2, -2]
doubtingly -1.4 0.4899 [-2, -2, -1, -1, -1, -1, -1, -2, -2, -1]
doubtless 0.9 1.51327 [2, 2, 1, 2, -2, 2, -2, 1, 1, 2]
doubtlessly 1.2 0.9798 [2, 1, 1, 2, 0, -1, 2, 1, 2, 2]
doubtlessness 0.8 0.9798 [2, 1, 2, 0, 0, 0, 2, -1, 1, 1]
doubts -1.2 0.6 [-2, -1, -1, -1, -2, -2, -1, 0, -1, -1]
douche -1.5 1.68819 [-3, -2, -3, 1, 1, -2, -3, -2, 1, -3]
douchebag -3.0 0.44721 [-3, -3, -3, -3, -3, -3, -2, -3, -4, -3]
downcast -1.8 0.74833 [-1, -1, -1, -2, -2, -2, -1, -3, -3, -2]
downhearted -2.3 0.78102 [-1, -2, -2, -4, -2, -2, -2, -3, -3, -2]
downside -1.0 0.7746 [-1, -1, -1, -1, -1, -1, -2, 1, -2, -1]
drag -0.9 0.83066 [-1, -2, -1, -1, -2, -1, -1, 1, 0, -1]
dragged -0.2 1.07703 [-2, -1, 0, 0, -1, 0, 0, 1, 2, -1]
drags -0.7 0.64031 [0, -1, 0, -1, -1, -2, -1, 0, 0, -1]
drained -1.5 0.5 [-1, -1, -2, -2, -1, -2, -1, -2, -1, -2]
dread -2.0 0.63246 [-2, -3, -2, -2, -2, -2, -3, -1, -1, -2]
dreaded -2.7 0.64031 [-2, -3, -3, -3, -4, -3, -2, -2, -2, -3]
dreadful -1.9 1.86815 [-4, -2, -2, 2, -1, -4, -1, 0, -3, -4]
dreadfully -2.7 1.26886 [-4, -4, -3, -4, -3, -1, -2, -1, -1, -4]
dreadfulness -3.2 0.87178 [-3, -4, -2, -3, -4, -4, -2, -2, -4, -4]
dreadfuls -2.4 1.2 [-4, -3, -3, -2, -3, -2, -4, 0, -1, -2]
dreading -2.4 0.8 [-3, -2, -2, -2, -2, -2, -3, -4, -3, -1]
dreadlock -0.4 0.66332 [0, 0, 0, 0, 0, -1, -2, 0, -1, 0]
dreadlocks -0.2 0.9798 [0, 0, 0, 0, 0, -1, -2, 2, 0, -1]
dreadnought -0.6 1.35647 [-2, 0, 0, 0, -3, 0, -1, -2, 0, 2]
dreadnoughts -0.4 0.66332 [0, -1, -1, 0, 0, 0, 0, 0, -2, 0]
dreads -1.4 1.42829 [0, -1, 0, 0, -3, -3, 0, -4, -2, -1]
dream 1.0 1.18322 [0, 1, 2, 0, 0, 3, 0, 3, 1, 0]
dreams 1.7 1.1 [2, 2, 3, 0, 1, 1, 1, 4, 1, 2]
dreary -1.4 0.4899 [-1, -1, -2, -1, -1, -2, -2, -1, -2, -1]
droopy -0.8 0.74833 [-1, -1, 0, -1, -2, 0, 0, -1, 0, -2]
drop -1.1 0.53852 [0, -1, -1, -1, -2, -1, -2, -1, -1, -1]
drown -2.7 1.00499 [-4, -2, -2, -4, -4, -2, -3, -1, -3, -2]
drowned -2.9 0.7 [-2, -3, -3, -3, -2, -4, -4, -2, -3, -3]
drowns -2.2 1.6 [-3, -3, -3, -4, -2, -3, -1, -2, 2, -3]
drunk -1.4 0.91652 [-3, -1, 0, -2, 0, -1, -1, -2, -2, -2]
dubious -1.5 0.5 [-1, -2, -2, -1, -1, -2, -1, -1, -2, -2]
dud -1.0 0.89443 [-1, -1, -1, 0, -3, 0, -1, 0, -1, -2]
dull -1.7 0.45826 [-2, -2, -2, -1, -2, -2, -2, -1, -1, -2]
dullard -1.6 0.66332 [-2, -1, -1, -2, -2, -1, -1, -2, -1, -3]
dullards -1.8 0.87178 [-1, -3, -1, -1, -3, -1, -1, -2, -3, -2]
dulled -1.5 0.5 [-2, -1, -2, -1, -1, -1, -2, -2, -1, -2]
duller -1.7 0.64031 [-3, -1, -2, -2, -2, -1, -2, -1, -1, -2]
dullest -1.7 1.00499 [-1, -4, -1, -1, -2, -3, -2, -1, -1, -1]
dulling -1.1 0.7 [-1, -2, 0, -1, -2, -2, 0, -1, -1, -1]
dullish -1.1 0.53852 [-2, -1, -1, -1, -1, -1, -1, -1, 0, -2]
dullness -1.4 0.8 [-1, -1, -1, -1, -1, -1, -3, -1, -3, -1]
dullnesses -1.9 1.04403 [-3, -2, -1, -1, -3, -1, -4, -1, -2, -1]
dulls -1.0 0.44721 [-1, -1, -1, -1, -1, -1, 0, -1, -1, -2]
dullsville -2.4 0.8 [-2, -2, -4, -3, -2, -2, -3, -2, -3, -1]
dully -1.1 0.3 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -2]
dumb -2.3 0.9 [-4, -2, -2, -2, -2, -2, -4, -2, -2, -1]
dumbass -2.6 1.0198 [-3, -3, -4, -4, -1, -2, -3, -3, -1, -2]
dumbbell -0.8 0.9798 [0, -1, -3, -2, 0, -1, 0, 0, -1, 0]
dumbbells -0.2 0.4 [0, -1, 0, 0, 0, 0, 0, -1, 0, 0]
dumbcane -0.3 0.45826 [0, 0, 0, 0, 0, -1, -1, 0, -1, 0]
dumbcanes -0.6 1.2 [0, 0, -1, -1, -1, 2, 0, -1, -3, -1]
dumbed -1.4 0.4899 [-2, -1, -2, -2, -2, -1, -1, -1, -1, -1]
dumber -1.5 0.5 [-2, -1, -2, -1, -2, -1, -1, -2, -2, -1]
dumbest -2.3 1.00499 [-3, -1, -3, -4, -2, -1, -2, -3, -1, -3]
dumbfound -0.1 1.92094 [3, -2, -1, -1, 1, 1, -3, 3, -1, -1]
dumbfounded -1.6 1.11355 [-2, 0, -2, 0, -2, -1, -4, -1, -2, -2]
dumbfounder -1.0 0.89443 [-2, 0, 0, 0, -2, -1, -2, 0, -2, -1]
dumbfounders -1.0 0.89443 [-1, -3, -1, 0, -2, 0, -1, 0, -1, -1]
dumbfounding -0.8 0.74833 [-1, -2, 0, -1, -1, 0, 0, -1, 0, -2]
dumbfounds -0.3 1.26886 [0, -1, -1, 0, 0, -1, -1, -2, 0, 3]
dumbhead -2.6 0.66332 [-3, -4, -3, -2, -2, -3, -3, -2, -2, -2]
dumbheads -1.9 0.83066 [-2, -2, -2, -1, -2, -1, -2, -4, -1, -2]
dumbing -0.5 1.0247 [-1, 2, -1, 0, -1, -2, -1, 0, 0, -1]
dumbly -1.3 1.00499 [-2, -1, -2, -3, 1, -2, -1, -1, -1, -1]
dumbness -1.9 0.53852 [-2, -2, -2, -2, -2, -3, -2, -2, -1, -1]
dumbs -1.5 0.67082 [-1, -1, -1, -3, -2, -1, -2, -1, -2, -1]
dumbstruck -1.0 1.34164 [-1, -2, 0, 0, -2, 1, -3, 1, -2, -2]
dumbwaiter 0.2 1.07703 [0, 0, 0, 0, 2, 0, 2, 0, -2, 0]
dumbwaiters -0.1 0.3 [0, 0, 0, 0, 0, 0, -1, 0, 0, 0]
dump -1.6 0.91652 [-3, -2, -1, -2, -1, -3, -2, -1, -1, 0]
dumpcart -0.6 0.8 [0, -2, -1, 0, 0, 0, -1, 0, -2, 0]
dumped -1.7 0.78102 [-2, -3, -2, -1, -1, -1, -3, -2, -1, -1]
dumper -1.2 0.87178 [-2, -3, -1, -1, -1, -2, 0, -1, 0, -1]
dumpers -0.8 0.6 [0, 0, -2, -1, -1, 0, -1, -1, -1, -1]
dumpier -1.4 0.66332 [-2, -1, -2, -1, -1, -2, 0, -2, -1, -2]
dumpiest -1.6 1.35647 [-1, -2, -2, -3, -2, -4, 1, 0, -1, -2]
dumpiness -1.2 0.6 [-2, -1, 0, -1, -1, -2, -1, -2, -1, -1]
dumping -1.3 1.1 [-3, -2, -2, 0, -2, -1, -1, 1, -1, -2]
dumpings -1.1 0.83066 [-2, 0, -1, -1, 0, -1, -2, -2, 0, -2]
dumpish -1.8 0.6 [-2, -1, -2, -3, -2, -2, -1, -2, -2, -1]
dumpling 0.4 0.91652 [0, 0, 1, 0, -1, 2, 2, 0, 0, 0]
dumplings -0.3 1.26886 [0, 0, 0, 0, 2, 0, 0, 0, -2, -3]
dumps -1.7 0.9 [-3, -2, -3, -1, -1, -3, -1, -1, -1, -1]
dumpster -0.6 0.91652 [0, -2, 0, -2, 0, 0, 0, -2, 0, 0]
dumpsters -1.0 0.89443 [0, -1, 0, -2, -2, -2, 0, 0, -1, -2]
dumpy -1.7 0.78102 [-3, -2, -3, -1, -1, -2, -2, -1, -1, -1]
dupe -1.5 0.5 [-2, -2, -1, -1, -2, -1, -2, -1, -2, -1]
duped -1.8 0.4 [-2, -2, -1, -2, -2, -2, -2, -1, -2, -2]
dwell 0.5 0.92195 [2, 1, -1, 0, -1, 1, 1, 1, 1, 0]
dwelled 0.4 0.66332 [2, 0, 0, 0, 0, 1, 1, 0, 0, 0]
dweller 0.3 0.64031 [2, 0, 0, 0, 0, 0, 1, 0, 0, 0]
dwellers -0.3 0.9 [-3, 0, 0, 0, 0, 0, 0, 0, 0, 0]
dwelling 0.1 0.53852 [0, 1, 0, 1, 0, 0, 0, -1, 0, 0]
dwells -0.1 0.53852 [0, 0, 0, 0, -1, 1, -1, 0, 0, 0]
dynamic 1.6 0.8 [1, 1, 1, 3, 1, 1, 2, 3, 2, 1]
dynamical 1.2 0.87178 [1, 2, 0, 1, 0, 2, 2, 2, 2, 0]
dynamically 1.5 1.0247 [2, 0, 3, 2, 0, 0, 2, 2, 2, 2]
dynamics 1.1 1.13578 [2, 3, 0, 0, 0, 2, 2, 0, 2, 0]
dynamism 1.6 1.11355 [0, 2, 0, 2, 0, 2, 3, 3, 2, 2]
dynamisms 1.2 0.9798 [2, 0, 2, 0, 0, 2, 2, 2, 0, 2]
dynamist 1.4 1.0198 [0, 2, 0, 2, 0, 1, 3, 2, 2, 2]
dynamistic 1.5 1.0247 [3, 1, 1, 2, 1, 3, 2, 0, 2, 0]
dynamists 0.9 0.83066 [1, 0, 0, 0, 0, 2, 2, 1, 2, 1]
dynamite 0.7 2.2383 [-3, 2, 3, 1, 2, 0, 2, 2, 2, -4]
dynamited -0.9 1.04403 [0, 0, 0, -1, -1, 0, -2, 0, -2, -3]
dynamiter -1.2 0.87178 [-1, 0, -1, -1, -2, 0, -1, -1, -2, -3]
dynamiters 0.4 1.42829 [0, 0, 0, -3, 1, 0, 2, 2, 2, 0]
dynamites -0.3 1.73494 [0, 0, 4, -1, -1, 0, 0, 0, -2, -3]
dynamitic 0.9 1.3 [2, 0, 1, -2, 2, 1, 1, 3, 0, 1]
dynamiting 0.2 1.32665 [-2, 0, 0, 2, -1, -1, 0, 2, 2, 0]
dynamometer 0.3 0.64031 [0, 0, 0, 0, 1, 0, 0, 2, 0, 0]
dynamometers 0.3 0.45826 [0, 0, 0, 0, 0, 1, 0, 1, 1, 0]
dynamometric 0.3 0.9 [0, 0, 0, 0, 0, 2, 0, 0, 2, -1]
dynamometry 0.6 1.28062 [-2, 0, 0, 0, 0, 2, 2, 2, 0, 2]
dynamos 0.3 0.64031 [1, 0, 0, 0, 0, 0, 0, 0, 2, 0]
dynamotor 0.6 0.91652 [0, 2, 0, 0, 0, 0, 2, 0, 2, 0]
dysfunction -1.8 0.6 [-2, -3, -2, -1, -2, -1, -2, -1, -2, -2]
eager 1.5 0.67082 [1, 3, 1, 2, 2, 2, 1, 1, 1, 1]
eagerly 1.6 0.66332 [0, 1, 2, 2, 2, 2, 2, 1, 2, 2]
eagerness 1.7 0.45826 [2, 2, 2, 2, 1, 1, 2, 2, 2, 1]
eagers 1.6 0.66332 [2, 2, 3, 1, 2, 1, 1, 1, 2, 1]
earnest 2.3 0.64031 [3, 2, 3, 1, 2, 2, 2, 3, 3, 2]
ease 1.5 0.92195 [1, 1, 1, 0, 2, 1, 2, 3, 3, 1]
eased 1.2 0.74833 [2, 0, 1, 0, 2, 2, 1, 1, 1, 2]
easeful 1.5 1.0247 [2, 1, 1, 2, 1, 0, 3, 2, 0, 3]
easefully 1.4 0.4899 [2, 2, 1, 1, 1, 1, 2, 2, 1, 1]
easel 0.3 0.45826 [0, 0, 0, 0, 1, 1, 0, 0, 0, 1]
easement 1.6 0.91652 [0, 1, 2, 3, 2, 1, 2, 1, 3, 1]
easements 0.4 1.11355 [0, 0, 0, 1, 2, -2, 1, 0, 2, 0]
eases 1.3 0.78102 [2, 0, 1, 0, 2, 2, 2, 1, 1, 2]
easier 1.8 0.9798 [1, 1, 2, 2, 4, 3, 2, 1, 1, 1]
easiest 1.8 1.07703 [2, 4, 1, 3, 2, 0, 2, 2, 1, 1]
easily 1.4 0.4899 [2, 1, 1, 2, 1, 2, 1, 2, 1, 1]
easiness 1.6 0.66332 [2, 1, 1, 2, 3, 2, 1, 1, 2, 1]
easing 1.0 0.63246 [0, 0, 2, 1, 1, 2, 1, 1, 1, 1]
easy 1.9 1.04403 [1, 4, 2, 1, 1, 3, 1, 3, 2, 1]
easygoing 1.3 0.45826 [1, 1, 1, 1, 1, 1, 2, 2, 2, 1]
easygoingness 1.5 0.67082 [1, 2, 1, 2, 1, 3, 1, 2, 1, 1]
ecstacy 3.3 1.18743 [4, 4, 3, 4, 4, 0, 3, 3, 4, 4]
ecstasies 2.3 1.34536 [3, 3, 2, 4, 3, 1, 3, -1, 2, 3]
ecstasy 2.9 1.75784 [4, 3, 3, 4, 4, 2, -2, 3, 4, 4]
ecstatic 2.3 1.34536 [3, 4, 3, 4, 1, 1, 1, 4, 1, 1]
ecstatically 2.8 1.93907 [3, 4, -1, 4, 4, 4, -1, 3, 4, 4]
ecstatics 2.9 0.83066 [1, 3, 4, 4, 3, 3, 3, 2, 3, 3]
eerie -1.5 0.67082 [-1, -1, -2, -2, -1, -1, -2, -1, -3, -1]
eery -0.9 1.04403 [-3, -1, -2, -1, -2, 0, 0, 0, 0, 0]
effective 2.1 0.83066 [2, 2, 2, 1, 3, 4, 2, 1, 2, 2]
effectively 1.9 0.7 [1, 2, 1, 2, 2, 1, 3, 3, 2, 2]
efficiencies 1.6 0.4899 [2, 1, 1, 2, 2, 2, 1, 2, 2, 1]
efficiency 1.5 0.5 [2, 1, 2, 2, 1, 2, 1, 1, 2, 1]
efficient 1.8 0.9798 [1, 2, 1, 1, 2, 3, 3, 0, 2, 3]
efficiently 1.7 0.78102 [1, 3, 2, 1, 3, 1, 1, 2, 2, 1]
effin -2.3 1.18743 [0, -3, -3, -3, -2, -1, -4, -1, -3, -3]
egotism -1.4 0.91652 [-2, -3, -1, -2, -2, 0, 0, -1, -2, -1]
egotisms -1.0 0.7746 [-1, -1, -1, -1, -1, 0, 0, -1, -3, -1]
egotist -2.3 0.9 [-2, -1, -2, -3, -4, -2, -3, -3, -1, -2]
egotistic -1.4 1.0198 [-2, -1, -1, -1, -2, 1, -3, -2, -1, -2]
egotistical -0.9 1.57797 [-1, -2, -2, -1, -2, 1, -3, 2, 1, -2]
egotistically -1.8 0.87178 [-2, -1, -1, -2, -1, -3, -3, -1, -1, -3]
egotists -1.7 0.78102 [-1, -2, 0, -2, -2, -2, -3, -1, -2, -2]
elated 3.2 0.74833 [2, 4, 4, 3, 4, 3, 3, 2, 3, 4]
elation 1.5 1.43178 [1, 2, -2, 2, 2, 3, 0, 3, 2, 2]
elegance 2.1 0.53852 [3, 2, 2, 1, 2, 2, 3, 2, 2, 2]
elegances 1.8 0.6 [2, 2, 1, 1, 2, 2, 2, 3, 2, 1]
elegancies 1.6 1.0198 [2, 1, 2, 1, 1, 0, 4, 1, 2, 2]
elegancy 2.1 0.53852 [3, 2, 2, 1, 2, 2, 3, 2, 2, 2]
elegant 2.1 0.83066 [2, 2, 2, 1, 4, 1, 2, 3, 2, 2]
elegantly 1.9 0.83066 [2, 1, 1, 3, 2, 2, 1, 3, 3, 1]
embarrass -1.2 1.66132 [-2, -2, -3, -1, -2, -2, 2, 2, -2, -2]
embarrassable -1.6 0.8 [-3, -2, -1, -3, -1, -1, -1, -2, -1, -1]
embarrassed -1.5 0.67082 [-2, -2, -1, -2, -1, -3, -1, -1, -1, -1]
embarrassedly -1.1 1.44568 [-2, -1, -2, -3, 1, -1, -1, -2, -2, 2]
embarrasses -1.7 0.78102 [-2, -3, -1, -2, -1, -3, -2, -1, -1, -1]
embarrassing -1.6 0.8 [-3, -1, -1, -1, -1, -2, -1, -2, -3, -1]
embarrassingly -1.7 0.64031 [-2, -1, -1, -2, -1, -2, -1, -3, -2, -2]
embarrassment -1.9 0.53852 [-2, -2, -1, -2, -2, -2, -2, -1, -3, -2]
embarrassments -1.7 0.64031 [-2, -1, -2, -1, -1, -2, -2, -1, -2, -3]
embittered -0.4 1.35647 [1, -2, -1, 1, -2, 2, 0, -1, 0, -2]
embrace 1.3 1.34536 [3, 2, 1, 3, 2, -1, 2, 1, -1, 1]
emergency -1.6 2.05913 [-3, -3, -3, -3, -4, 2, 1, -1, 1, -3]
emotional 0.6 1.0198 [1, -1, 0, 0, 0, 2, 0, 2, 2, 0]
empathetic 1.7 1.1 [-1, 3, 2, 2, 2, 1, 3, 1, 2, 2]
emptied -0.7 0.64031 [-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptier -0.7 0.64031 [-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptiers -0.7 0.78102 [0, 0, -1, 0, -1, -1, -2, 0, -2, 0]
empties -0.7 0.64031 [-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptiest -1.8 1.07703 [-1, -2, -2, -1, -1, -2, -3, 0, -4, -2]
emptily -1.0 1.41421 [-2, 2, -1, -1, -1, 0, -4, -1, -1, -1]
emptiness -1.9 0.7 [-2, -2, -3, -2, -2, -1, -1, -3, -1, -2]
emptinesses -1.5 1.11803 [-1, -1, -3, -1, -1, -1, -2, 0, -4, -1]
emptins -0.3 0.45826 [0, 0, 0, -1, 0, 0, 0, -1, -1, 0]
empty -0.8 0.74833 [-1, -1, -1, -1, -1, -1, -2, 0, -1, 1]
emptying -0.6 1.0198 [2, -1, -1, 0, -1, 0, -1, -1, -2, -1]
enchanted 1.6 0.8 [1, 3, 1, 2, 1, 3, 1, 2, 1, 1]
encourage 2.3 0.78102 [2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
encouraged 1.5 0.5 [1, 2, 2, 2, 2, 2, 1, 1, 1, 1]
encouragement 1.8 0.9798 [2, 1, 2, 1, 1, 3, 1, 2, 4, 1]
encouragements 2.1 0.7 [3, 2, 3, 2, 1, 2, 3, 2, 2, 1]
encourager 1.5 0.5 [2, 1, 2, 1, 1, 2, 1, 1, 2, 2]
encouragers 1.5 0.5 [2, 2, 1, 1, 2, 2, 1, 1, 2, 1]
encourages 1.9 0.53852 [2, 2, 1, 2, 2, 1, 2, 2, 2, 3]
encouraging 2.4 0.66332 [2, 3, 2, 3, 3, 2, 3, 2, 1, 3]
encouragingly 2.0 0.7746 [1, 1, 1, 3, 2, 2, 2, 3, 2, 3]
endorse 1.3 0.9 [0, 1, 0, 1, 3, 2, 2, 2, 1, 1]
endorsed 1.0 0.89443 [1, 2, 0, 1, 1, 0, 1, 0, 3, 1]
endorsement 1.3 0.9 [0, 1, 2, 2, 1, 2, 0, 1, 3, 1]
endorses 1.4 0.4899 [1, 2, 1, 2, 1, 1, 1, 2, 2, 1]
enemies -2.2 0.6 [-2, -3, -1, -2, -2, -3, -2, -3, -2, -2]
enemy -2.5 0.92195 [-3, -2, -3, -3, -3, -4, -1, -3, -1, -2]
energetic 1.9 0.53852 [2, 1, 3, 2, 2, 2, 1, 2, 2, 2]
energetically 1.8 0.6 [2, 2, 1, 1, 2, 2, 3, 1, 2, 2]
energetics 0.3 0.64031 [1, 0, 0, 0, 0, 0, 2, 0, 0, 0]
energies 0.9 1.04403 [1, 0, 0, 2, 0, 1, 3, 2, 0, 0]
energise 2.2 0.4 [2, 2, 2, 2, 2, 2, 3, 2, 3, 2]
energised 2.1 0.53852 [2, 3, 1, 2, 2, 2, 3, 2, 2, 2]
energises 2.2 0.6 [3, 3, 2, 2, 1, 3, 2, 2, 2, 2]
energising 1.9 0.7 [2, 3, 1, 2, 2, 3, 2, 1, 1, 2]
energization 1.6 0.66332 [1, 2, 1, 3, 1, 1, 2, 2, 2, 1]
energizations 1.5 1.11803 [1, 0, 3, 1, 3, 0, 1, 1, 2, 3]
energize 2.1 0.7 [2, 2, 2, 1, 3, 2, 3, 2, 3, 1]
energized 2.3 0.64031 [3, 2, 3, 3, 3, 2, 2, 2, 1, 2]
energizer 2.1 0.53852 [3, 2, 2, 2, 2, 2, 2, 3, 1, 2]
energizers 1.7 0.9 [2, 0, 2, 3, 3, 1, 1, 2, 2, 1]
energizes 2.1 0.53852 [3, 2, 3, 2, 2, 2, 2, 2, 1, 2]
energizing 2.0 0.63246 [3, 3, 2, 1, 2, 2, 1, 2, 2, 2]
energy 1.1 0.83066 [0, 2, 0, 2, 1, 1, 2, 1, 2, 0]
engage 1.4 0.8 [1, 2, 3, 2, 1, 1, 0, 1, 2, 1]
engaged 1.7 1.1 [1, 1, 2, 2, 1, 0, 2, 3, 4, 1]
engagement 2.0 1.34164 [0, 0, 3, 4, 4, 2, 1, 2, 2, 2]
engagements 0.6 0.8 [1, 0, 0, 2, 0, 2, 0, 0, 1, 0]
engager 1.1 0.7 [1, 1, 0, 2, 1, 0, 2, 1, 2, 1]
engagers 1.0 0.7746 [1, 1, 1, 0, 2, 1, 0, 2, 2, 0]
engages 1.0 0.7746 [1, 1, 0, 2, 1, 0, 1, 2, 2, 0]
engaging 1.4 0.4899 [2, 2, 1, 1, 2, 1, 1, 1, 1, 2]
engagingly 1.5 0.67082 [1, 2, 3, 1, 1, 1, 1, 1, 2, 2]
engrossed 0.6 1.49666 [0, 2, 0, 2, -2, 2, 3, -1, 0, 0]
enjoy 2.2 0.6 [3, 2, 2, 2, 3, 2, 2, 3, 2, 1]
enjoyable 1.9 0.53852 [3, 2, 2, 1, 2, 1, 2, 2, 2, 2]
enjoyableness 1.9 1.13578 [2, 2, 2, 2, 1, 3, 3, 3, -1, 2]
enjoyably 1.8 0.4 [2, 2, 2, 1, 2, 1, 2, 2, 2, 2]
enjoyed 2.3 0.64031 [2, 2, 1, 3, 3, 3, 2, 2, 2, 3]
enjoyer 2.2 0.6 [2, 2, 1, 3, 3, 2, 2, 2, 2, 3]
enjoyers 2.2 0.74833 [2, 4, 2, 2, 2, 2, 2, 3, 2, 1]
enjoying 2.4 0.66332 [2, 2, 2, 3, 3, 3, 1, 3, 2, 3]
enjoyment 2.6 0.4899 [2, 3, 2, 3, 2, 3, 2, 3, 3, 3]
enjoyments 2.0 0.7746 [3, 1, 1, 3, 2, 1, 2, 2, 2, 3]
enjoys 2.3 0.45826 [2, 3, 2, 2, 2, 3, 2, 3, 2, 2]
enlighten 2.3 1.1 [2, 2, 1, 3, 2, 1, 1, 4, 3, 4]
enlightened 2.2 0.87178 [4, 2, 3, 1, 2, 2, 1, 3, 2, 2]
enlightening 2.3 0.64031 [3, 2, 2, 2, 2, 2, 2, 4, 2, 2]
enlightens 1.7 1.00499 [2, 1, 1, 1, 1, 2, 4, 1, 3, 1]
ennui -1.2 0.6 [-1, -1, -1, -2, -1, -1, -2, -1, 0, -2]
enrage -2.6 0.91652 [-3, -3, -3, -4, -1, -1, -3, -2, -3, -3]
enraged -1.7 1.79165 [-3, -3, -3, -3, 2, -1, -3, -1, 1, -3]
enrages -1.8 1.6 [-3, -3, -3, -3, 1, -1, -3, -1, 1, -3]
enraging -2.8 0.74833 [-4, -2, -3, -2, -2, -3, -3, -2, -4, -3]
enrapture 3.0 0.63246 [2, 4, 3, 3, 4, 3, 3, 2, 3, 3]
enslave -3.1 0.9434 [-3, -4, -2, -4, -4, -2, -4, -2, -4, -2]
enslaved -1.7 2.41039 [3, -3, -3, -3, -4, -4, -4, 1, -1, 1]
enslaves -1.6 2.15407 [2, -2, -3, -2, -4, -4, -4, 1, -1, 1]
ensure 1.6 0.91652 [2, 1, 3, 1, 1, 2, 3, 2, 0, 1]
ensuring 1.1 0.9434 [0, 1, 3, 1, 1, 2, 1, 0, 2, 0]
enterprising 2.3 0.78102 [3, 2, 1, 3, 3, 2, 1, 2, 3, 3]
entertain 1.3 0.64031 [1, 2, 1, 1, 2, 1, 2, 0, 1, 2]
entertained 1.7 0.64031 [1, 2, 2, 1, 2, 1, 1, 3, 2, 2]
entertainer 1.6 1.2 [1, 4, 2, 2, 0, 0, 1, 3, 1, 2]
entertainers 1.0 0.7746 [0, 1, 2, 2, 0, 0, 1, 1, 2, 1]
entertaining 1.9 0.83066 [1, 2, 1, 1, 3, 2, 3, 2, 3, 1]
entertainingly 1.9 0.53852 [2, 1, 2, 3, 2, 2, 1, 2, 2, 2]
entertainment 1.8 0.9798 [2, 0, 4, 2, 2, 1, 2, 2, 1, 2]
entertainments 2.3 1.18743 [3, 3, 3, 2, 1, 0, 3, 4, 1, 3]
entertains 2.4 0.66332 [2, 2, 2, 2, 2, 3, 4, 3, 2, 2]
enthral 0.4 1.42829 [2, 2, 0, 2, 0, -1, -2, 2, 0, -1]
enthuse 1.6 0.66332 [1, 2, 1, 1, 3, 1, 2, 2, 2, 1]
enthused 2.0 0.63246 [3, 3, 1, 2, 2, 2, 2, 1, 2, 2]
enthuses 1.7 0.78102 [2, 3, 1, 2, 1, 3, 1, 1, 1, 2]
enthusiasm 1.9 0.9434 [3, 3, 3, 2, 1, 0, 2, 1, 2, 2]
enthusiasms 2.0 0.89443 [1, 3, 2, 2, 3, 2, 0, 2, 3, 2]
enthusiast 1.5 0.67082 [1, 2, 2, 2, 0, 1, 1, 2, 2, 2]
enthusiastic 2.2 0.9798 [1, 2, 3, 4, 2, 3, 2, 1, 1, 3]
enthusiastically 2.6 0.66332 [3, 3, 3, 2, 3, 3, 3, 3, 2, 1]
enthusiasts 1.4 0.91652 [1, 1, 0, 3, 3, 2, 1, 1, 1, 1]
enthusing 1.9 0.7 [2, 1, 2, 1, 2, 3, 2, 1, 2, 3]
entitled 1.1 0.83066 [2, 2, 1, 1, 2, 1, 1, -1, 1, 1]
entrusted 0.8 1.46969 [3, 0, 2, 2, 1, 1, -1, 0, -2, 2]
envied -1.1 0.83066 [-1, -2, -2, 1, -2, -1, -1, -1, -1, -1]
envier -1.0 0.7746 [-1, -2, -2, -1, -1, 1, -1, -1, -1, -1]
enviers -1.1 1.13578 [-3, -1, 0, -3, -1, -1, -1, -1, 1, -1]
envies -0.8 0.9798 [-1, -2, -2, 1, -1, 1, -1, -1, -1, -1]
envious -1.1 0.83066 [-2, -1, -1, -1, -2, -1, -1, 1, -2, -1]
envy -1.1 0.83066 [-2, -1, -1, -2, -1, -1, -1, 1, -1, -2]
envying -0.8 1.32665 [-1, -1, -1, -1, -3, 2, -2, -1, 1, -1]
envyingly -1.3 1.55242 [-2, 3, -2, -2, -1, -3, -1, -1, -2, -2]
erroneous -1.8 0.6 [-2, -3, -2, -2, -2, -2, -1, -1, -1, -2]
error -1.7 0.64031 [-2, -1, -2, -1, -2, -1, -1, -2, -3, -2]
errors -1.4 0.66332 [-2, -1, -2, 0, -2, -2, -1, -1, -1, -2]
escape 0.7 1.00499 [2, 0, 0, 1, 0, 1, 0, 3, 0, 0]
escapes 0.5 1.36015 [4, 1, 1, 0, -1, 0, -1, 0, 1, 0]
escaping 0.2 1.46969 [-2, 2, -1, 0, 1, 0, 2, 2, -2, 0]
esteemed 1.9 0.83066 [3, 2, 1, 2, 3, 1, 1, 2, 3, 1]
ethical 2.3 0.78102 [3, 3, 3, 3, 2, 2, 1, 3, 2, 1]
euphoria 3.3 0.9 [4, 4, 3, 3, 3, 4, 4, 4, 1, 3]
euphoric 3.2 0.87178 [3, 4, 3, 3, 3, 4, 4, 4, 1, 3]
eviction -2.0 0.63246 [-2, -2, -3, -2, -3, -2, -1, -2, -1, -2]
evil -3.4 0.91652 [-4, -4, -4, -3, -3, -4, -1, -4, -3, -4]
evildoer -3.1 0.7 [-2, -3, -3, -3, -4, -4, -3, -2, -3, -4]
evildoers -2.4 0.4899 [-3, -3, -2, -2, -2, -2, -2, -2, -3, -3]
evildoing -3.1 0.7 [-4, -4, -3, -3, -3, -4, -2, -3, -2, -3]
evildoings -2.5 1.0247 [-3, -1, -1, -3, -4, -2, -4, -2, -2, -3]
eviler -2.1 1.13578 [-2, -1, -3, -2, -4, -3, -1, -2, 0, -3]
evilest -2.5 1.0247 [-3, -4, -1, -3, -2, -3, -1, -4, -2, -2]
eviller -2.9 0.83066 [-3, -3, -4, -2, -2, -3, -2, -4, -2, -4]
evillest -3.3 0.78102 [-3, -4, -2, -3, -4, -2, -4, -4, -3, -4]
evilly -3.4 0.8 [-2, -4, -4, -4, -3, -4, -4, -4, -3, -2]
evilness -3.1 1.04403 [-3, -4, -4, -4, -4, -2, -3, -2, -1, -4]
evils -2.7 0.78102 [-3, -2, -2, -4, -4, -2, -3, -2, -3, -2]
exaggerate -0.6 0.66332 [-1, -1, -1, 0, -1, 0, 1, -1, -1, -1]
exaggerated -0.4 1.2 [-1, -1, -1, -1, -1, 2, 1, 1, -2, -1]
exaggerates -0.6 1.28062 [-1, -1, -1, -1, -1, 1, 0, 2, -3, -1]
exaggerating -0.7 0.9 [-1, -2, 0, -1, 0, 0, -2, -1, 1, -1]
exasperated -1.8 1.53623 [-4, -3, -3, -1, -1, -1, 1, -1, -4, -1]
excel 2.0 1.0 [3, 0, 2, 3, 1, 1, 3, 3, 2, 2]
excelled 2.2 0.87178 [1, 2, 2, 2, 3, 2, 4, 3, 2, 1]
excellence 3.1 0.9434 [4, 3, 4, 3, 2, 3, 1, 4, 3, 4]
excellences 2.5 0.92195 [4, 2, 2, 2, 4, 3, 2, 2, 3, 1]
excellencies 2.4 0.4899 [3, 2, 3, 3, 2, 2, 2, 2, 3, 2]
excellency 2.5 0.80623 [4, 2, 3, 3, 2, 3, 1, 3, 2, 2]
excellent 2.7 0.64031 [2, 3, 3, 3, 3, 2, 3, 2, 2, 4]
excellently 3.1 0.7 [4, 3, 3, 3, 2, 3, 3, 4, 4, 2]
excelling 2.5 0.67082 [2, 2, 3, 3, 3, 2, 2, 4, 2, 2]
excels 2.5 0.92195 [4, 2, 4, 2, 2, 1, 2, 3, 3, 2]
excelsior 0.7 0.64031 [1, 0, 0, 2, 0, 1, 1, 1, 1, 0]
excitabilities 1.5 1.0247 [2, 0, 1, 1, 3, 1, 2, 3, 2, 0]
excitability 1.2 0.87178 [0, 1, 1, 0, 1, 2, 3, 1, 2, 1]
excitable 1.5 0.92195 [2, 3, 1, 0, 1, 2, 2, 0, 2, 2]
excitableness 1.0 1.09545 [0, 0, 2, 0, 2, 0, 2, 0, 1, 3]
excitant 1.8 1.16619 [1, 0, 1, 3, 2, 0, 3, 3, 2, 3]
excitants 1.2 0.9798 [1, 0, 1, 2, 2, 2, 1, -1, 2, 2]
excitation 1.8 0.87178 [2, 0, 3, 1, 3, 2, 2, 2, 1, 2]
excitations 1.8 1.16619 [3, 3, -1, 2, 2, 2, 1, 1, 3, 2]
excitative 0.3 0.78102 [0, 1, 1, 0, 0, 0, 2, 0, -1, 0]
excitatory 1.1 1.7 [-1, 2, 2, 1, 2, 2, 2, 3, -3, 1]
excite 2.1 1.22066 [1, 2, 2, 1, 2, 0, 4, 4, 3, 2]
excited 1.4 0.4899 [1, 1, 2, 1, 2, 1, 2, 1, 1, 2]
excitedly 2.3 0.9 [3, 3, 2, 3, 1, 3, 1, 3, 1, 3]
excitement 2.2 0.4 [2, 2, 2, 3, 3, 2, 2, 2, 2, 2]
excitements 1.9 0.53852 [2, 1, 2, 3, 2, 2, 2, 2, 2, 1]
exciter 1.9 0.9434 [3, 2, 3, 1, 0, 1, 2, 3, 2, 2]
exciters 1.4 1.42829 [1, 2, 0, 1, 2, 4, 0, -1, 3, 2]
excites 2.1 0.83066 [2, 3, 3, 2, 0, 2, 2, 3, 2, 2]
exciting 2.2 0.87178 [3, 2, 1, 1, 1, 3, 3, 3, 2, 3]
excitingly 1.9 0.9434 [3, 2, 3, 0, 1, 2, 1, 2, 2, 3]
exciton 0.3 0.64031 [2, 0, 0, 0, 0, 0, 1, 0, 0, 0]
excitonic 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
excitons 0.8 0.6 [1, 2, 0, 1, 1, 0, 0, 1, 1, 1]
excitor 0.5 0.67082 [2, 0, 0, 0, 1, 1, 1, 0, 0, 0]
exclude -0.9 1.13578 [-1, -2, -1, -3, -1, 1, -1, -1, 1, -1]
excluded -1.4 1.62481 [-2, -1, -3, -3, -2, -3, -2, 1, -1, 2]
exclusion -1.2 1.249 [-2, -2, -3, -1, -2, -1, -1, -1, 2, -1]
exclusive 0.5 0.92195 [0, 0, 0, -1, 2, 0, 1, 2, 1, 0]
excruciate -2.7 0.64031 [-2, -3, -2, -3, -3, -2, -4, -3, -2, -3]
excruciated -1.3 1.9 [-4, -1, -4, 0, 2, -2, -1, -1, -3, 1]
excruciates -1.0 2.19089 [-4, 1, -4, 0, 1, -3, -1, 1, -3, 2]
excruciating -3.3 0.9 [-3, -4, -4, -4, -4, -4, -4, -2, -2, -2]
excruciatingly -2.9 1.04403 [-2, -4, -3, -2, -4, -1, -2, -3, -4, -4]
excruciation -3.4 0.66332 [-4, -3, -2, -4, -4, -3, -4, -3, -3, -4]
excruciations -1.9 1.51327 [-3, -3, -2, -4, -1, -1, 1, -4, -1, -1]
excuse 0.3 1.73494 [0, 0, 3, -1, 0, -1, -2, 0, 4, 0]
exempt 0.4 0.91652 [1, 0, 0, 0, 2, -1, 0, 0, 2, 0]
exhaust -1.2 0.87178 [0, -1, 0, -1, -1, -3, -2, -2, -1, -1]
exhausted -1.5 1.28452 [-2, -1, 2, -2, -3, -2, -2, -1, -2, -2]
exhauster -1.3 0.64031 [-1, -1, 0, -1, -2, -1, -1, -2, -2, -2]
exhausters -1.3 0.45826 [-2, -1, -2, -1, -1, -2, -1, -1, -1, -1]
exhaustibility -0.8 1.07703 [0, -2, -3, 0, 1, -1, -1, -1, 0, -1]
exhaustible -1.0 0.63246 [-1, -1, 0, -1, -2, -2, -1, 0, -1, -1]
exhausting -1.5 0.5 [-1, -2, -1, -1, -2, -1, -2, -2, -1, -2]
exhaustion -1.5 0.92195 [-2, -1, 1, -2, -2, -2, -2, -1, -2, -2]
exhaustions -1.1 0.9434 [-1, -3, -2, -1, -1, -1, -1, 1, -1, -1]
exhaustive -0.5 0.67082 [-1, -1, 0, -1, -2, 0, 0, 0, 0, 0]
exhaustively -0.7 0.78102 [-2, 0, -1, -1, -1, -2, 0, 0, 0, 0]
exhaustiveness -1.1 1.3 [-2, -2, 0, -1, -1, 1, -4, -1, 0, -1]
exhaustless 0.2 1.8868 [1, 1, 0, 2, 3, 0, -2, 2, -2, -3]
exhaustlessness 0.9 1.75784 [2, 2, 1, 1, -4, 2, 1, 2, 0, 2]
exhausts -1.1 0.53852 [-2, -1, 0, -1, -1, -2, -1, -1, -1, -1]
exhilarated 3.0 0.63246 [3, 3, 3, 3, 2, 2, 4, 4, 3, 3]
exhilarates 2.8 1.07703 [4, 3, 3, 3, 0, 2, 3, 4, 3, 3]
exhilarating 1.7 1.61555 [3, 4, 3, 2, -1, 1, 1, 3, -1, 2]
exonerate 1.8 0.74833 [2, 2, 2, 2, 3, 2, 1, 0, 2, 2]
exonerated 1.8 1.83303 [3, -2, 2, 3, 2, 4, 3, 1, -1, 3]
exonerates 1.6 1.90788 [3, -2, 1, 2, 3, 4, 0, 3, -1, 3]
exonerating 1.0 1.41421 [2, -2, 3, 0, 0, 2, 0, 2, 2, 1]
expand 1.3 0.64031 [0, 2, 2, 1, 1, 1, 2, 1, 2, 1]
expands 0.4 0.66332 [0, 1, 0, 0, 0, 0, 0, 0, 2, 1]
expel -1.9 1.44568 [0, -4, -3, -1, -3, -1, 0, -2, -4, -1]
expelled -1.0 1.94936 [-1, -2, 2, -2, -4, -3, -2, 1, 2, -1]
expelling -1.6 1.49666 [-2, -2, -2, -2, -2, -3, -4, -1, 1, 1]
expels -1.6 1.11355 [-4, -2, 0, -3, -1, -1, -1, -2, -1, -1]
exploit -0.4 1.62481 [-2, -1, -1, 2, -2, -2, 2, -1, 2, -1]
exploited -2.0 1.0 [-3, -3, -1, -1, -1, -4, -2, -2, -1, -2]
exploiting -1.9 1.22066 [0, -3, -3, 0, -2, -3, -1, -1, -3, -3]
exploits -1.4 0.8 [-2, -2, -2, -1, -1, 0, -2, 0, -2, -2]
exploration 0.9 0.7 [2, 2, 0, 1, 1, 0, 1, 0, 1, 1]
explorations 0.3 1.1 [1, 1, 0, 0, 1, 2, 1, -2, -1, 0]
expose -0.6 0.8 [-1, -1, 0, 0, -2, 1, -1, 0, -1, -1]
exposed -0.3 1.18743 [-2, -1, 0, 2, 0, 0, -1, 1, -2, 0]
exposes -0.5 0.92195 [-1, -1, 0, 2, -1, 0, -1, -1, -1, -1]
exposing -1.1 0.7 [-2, -2, -1, -1, 0, -2, -1, -1, 0, -1]
extend 0.7 0.78102 [2, 0, 0, 0, 1, 2, 1, 1, 0, 0]
extends 0.5 0.80623 [2, 0, 2, 0, 0, 0, 1, 0, 0, 0]
exuberant 2.8 0.6 [2, 3, 2, 3, 2, 4, 3, 3, 3, 3]
exultant 3.0 1.18322 [4, 4, 3, 0, 3, 4, 3, 3, 2, 4]
exultantly 1.4 1.49666 [3, 2, 4, 1, 1, 2, -2, 1, 1, 1]
fab 2.0 1.0 [2, 1, 1, 3, 1, 2, 2, 4, 3, 1]
fabulous 2.4 0.8 [2, 2, 3, 4, 3, 3, 1, 2, 2, 2]
fabulousness 2.8 1.07703 [4, 1, 4, 3, 1, 3, 3, 2, 4, 3]
fad 0.9 0.83066 [2, 0, 1, 1, 1, 0, 0, 2, 2, 0]
fag -2.1 0.83066 [-3, -1, -2, -4, -2, -2, -2, -1, -2, -2]
faggot -3.4 0.8 [-2, -4, -4, -3, -2, -4, -4, -4, -3, -4]
faggots -3.2 0.9798 [-2, -4, -4, -4, -3, -4, -4, -3, -1, -3]
fail -2.5 0.67082 [-2, -3, -3, -3, -4, -2, -2, -2, -2, -2]
failed -2.3 0.9 [-2, -3, -1, -2, -2, -1, -3, -3, -4, -2]
failing -2.3 1.1 [-2, -3, -3, -3, -4, -1, -2, -2, 0, -3]
failingly -1.4 0.8 [-1, -3, -2, -1, 0, -1, -2, -1, -2, -1]
failings -2.2 1.07703 [-2, -2, -3, -4, -1, -2, -1, -1, -4, -2]
faille 0.1 0.3 [0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
fails -1.8 0.74833 [-2, -3, -2, -3, -2, -2, -1, -1, -1, -1]
failure -2.3 1.00499 [-3, -1, -3, -2, -1, -2, -3, -1, -4, -3]
failures -2.0 0.63246 [-1, -2, -1, -2, -3, -2, -2, -3, -2, -2]
fainthearted -0.3 1.34536 [3, -1, -1, -1, -2, -1, 0, 1, -1, 0]
fair 1.3 1.00499 [0, 1, 1, 2, 4, 1, 1, 1, 1, 1]
faith 1.8 0.6 [1, 3, 2, 2, 1, 2, 2, 2, 1, 2]
faithed 1.3 1.00499 [3, 2, 1, 2, 1, 2, -1, 1, 1, 1]
faithful 1.9 0.83066 [1, 3, 2, 2, 1, 1, 3, 3, 2, 1]
faithfully 1.8 1.07703 [3, 1, 2, 2, 4, 1, 0, 1, 2, 2]
faithfulness 1.9 0.53852 [1, 2, 2, 3, 2, 2, 2, 1, 2, 2]
faithless -1.0 0.89443 [-1, -1, -1, -2, -2, -1, -1, 0, 1, -2]
faithlessly -0.9 1.51327 [-1, -2, -1, -3, -2, -1, 3, 0, -1, -1]
faithlessness -1.8 1.249 [-3, -2, 1, -2, -2, -1, -2, -1, -4, -2]
faiths 1.8 0.9798 [2, 3, 1, 1, 3, 3, 0, 2, 2, 1]
fake -2.1 0.9434 [-2, -2, -1, -1, -1, -3, -3, -4, -2, -2]
fakes -1.8 1.07703 [-2, -3, -2, -2, -3, 1, -2, -2, -1, -2]
faking -1.8 0.87178 [-3, -1, -2, -1, -2, -2, -3, -2, 0, -2]
fallen -1.5 0.80623 [-1, -1, -2, -2, -1, -3, 0, -1, -2, -2]
falling -0.6 1.8 [-2, -2, -1, 0, -1, 3, -3, 2, 0, -2]
falsified -1.6 0.91652 [-4, -1, -1, -2, -1, -1, -2, -2, -1, -1]
falsify -2.0 0.7746 [-2, -1, -3, -3, -1, -2, -2, -2,
gitextract_z6s0suvr/
├── .gitignore
├── LICENSE.txt
├── README.md
└── VaderSharp/
├── NuGet-Pack.bat
├── VaderSharp/
│ ├── ConfigStore/
│ │ ├── ConfigStore.cs
│ │ └── strings/
│ │ └── en-gb.xml
│ ├── Extensions.cs
│ ├── SentiText.cs
│ ├── SentimentAnalysisResults.cs
│ ├── SentimentIntensityAnalyzer.cs
│ ├── SentimentUtils.cs
│ ├── VaderSharp.csproj
│ └── vader_lexicon.txt
├── VaderSharp.sln
└── VaderSharpTestCore/
├── SentimentTest.cs
└── VaderSharpTestCore.csproj
SYMBOL INDEX (38 symbols across 7 files)
FILE: VaderSharp/VaderSharp/ConfigStore/ConfigStore.cs
class ConfigStore (line 14) | public class ConfigStore
method ConfigStore (line 25) | private ConfigStore(string languageCode)
method CreateConfig (line 35) | public static ConfigStore CreateConfig(string languageCode = "en-gb")
method LoadConfig (line 45) | private void LoadConfig(string languageCode)
method LoadNegations (line 62) | private void LoadNegations(XElement root)
method LoadIdioms (line 77) | private void LoadIdioms(XElement root)
method LoadBooster (line 93) | private void LoadBooster(XElement root)
FILE: VaderSharp/VaderSharp/Extensions.cs
class Extensions (line 5) | internal static class Extensions
method IsUpper (line 12) | public static bool IsUpper(this string word)
method RemovePunctuation (line 22) | public static string RemovePunctuation(this string word)
FILE: VaderSharp/VaderSharp/SentiText.cs
class SentiText (line 6) | internal class SentiText
method SentiText (line 12) | public SentiText(string text)
method WordsPlusPunc (line 25) | private Dictionary<string, string> WordsPlusPunc()
method GetWordsAndEmoticons (line 52) | private IList<string> GetWordsAndEmoticons()
FILE: VaderSharp/VaderSharp/SentimentAnalysisResults.cs
class SentimentAnalysisResults (line 6) | public class SentimentAnalysisResults
FILE: VaderSharp/VaderSharp/SentimentIntensityAnalyzer.cs
class SentimentIntensityAnalyzer (line 13) | public class SentimentIntensityAnalyzer
method SentimentIntensityAnalyzer (line 22) | static SentimentIntensityAnalyzer()
method MakeLexDic (line 38) | private static Dictionary<string,double> MakeLexDic()
method PolarityScores (line 54) | public SentimentAnalysisResults PolarityScores(string input)
method SentimentValence (line 78) | private IList<double> SentimentValence(double valence, SentiText senti...
method ButCheck (line 127) | private IList<double> ButCheck(IList<string> wordsAndEmoticons, IList<...
method LeastCheck (line 155) | private double LeastCheck(double valence, IList<string> wordsAndEmotic...
method NeverCheck (line 174) | private double NeverCheck(double valence, IList<string> wordsAndEmotic...
method IdiomsCheck (line 210) | private double IdiomsCheck(double valence, IList<string> wordsAndEmoti...
method PunctuationEmphasis (line 252) | private double PunctuationEmphasis(string text)
method AmplifyExclamation (line 257) | private double AmplifyExclamation(string text)
method AmplifyQuestion (line 267) | private static double AmplifyQuestion(string text)
method SiftSentimentScores (line 280) | private static SiftSentiments SiftSentimentScores(IList<double> sentim...
method ScoreValence (line 298) | private SentimentAnalysisResults ScoreValence(IList<double> sentiments...
class SiftSentiments (line 330) | private class SiftSentiments
FILE: VaderSharp/VaderSharp/SentimentUtils.cs
class SentimentUtils (line 6) | internal static class SentimentUtils
method Negated (line 123) | public static bool Negated(IList<string> inputWords, bool includenT = ...
method Normalize (line 156) | public static double Normalize(double score, double alpha = 15)
method AllCapDifferential (line 174) | public static bool AllCapDifferential(IList<string> words)
method ScalarIncDec (line 195) | public static double ScalarIncDec(string word, double valence, bool is...
FILE: VaderSharp/VaderSharpTestCore/SentimentTest.cs
class SentimentTest (line 8) | [TestClass]
method MatchPythonTest (line 11) | [TestMethod]
method TestConfigStore (line 38) | [TestMethod]
Condensed preview — 16 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (506K chars).
[
{
"path": ".gitignore",
"chars": 4838,
"preview": "## Ignore Visual Studio temporary files, build results, and\n## files generated by popular Visual Studio add-ons.\n##\n## G"
},
{
"path": "LICENSE.txt",
"chars": 1071,
"preview": "MIT License\n\nCopyright (c) 2017 Jordan Andrews\n\nPermission is hereby granted, free of charge, to any person obtaining a "
},
{
"path": "README.md",
"chars": 1196,
"preview": "# VaderSharp. The best sentiment analysis tool. In C#.\n\n\"VADER (Valence Aware Dictionary and sEntiment Reasoner) is a le"
},
{
"path": "VaderSharp/NuGet-Pack.bat",
"chars": 203,
"preview": "@echo off\n\nset version=%1\n\ndotnet restore .\\VaderSharp\ndotnet pack .\\VaderSharp\\VaderSharp.csproj --output ..\\nupkgs --c"
},
{
"path": "VaderSharp/VaderSharp/ConfigStore/ConfigStore.cs",
"chars": 3508,
"preview": "using System.Collections.Generic;\nusing System.IO;\nusing System.Linq;\nusing System.Xml.Linq;\n\nnamespace VaderSharp\n{\n\n "
},
{
"path": "VaderSharp/VaderSharp/ConfigStore/strings/en-gb.xml",
"chars": 5294,
"preview": "<?xml version=\"1.0\" encoding=\"utf-8\" ?>\n<strings>\n <booster-words>\n <booster sign=\"BIncr\">absolutely</booster>\n "
},
{
"path": "VaderSharp/VaderSharp/Extensions.cs",
"chars": 698,
"preview": "using System.Linq;\n\nnamespace VaderSharp\n{\n internal static class Extensions\n {\n /// <summary>\n ///"
},
{
"path": "VaderSharp/VaderSharp/SentiText.cs",
"chars": 2115,
"preview": "using System.Collections.Generic;\nusing System.Linq;\n\nnamespace VaderSharp\n{\n internal class SentiText\n {\n "
},
{
"path": "VaderSharp/VaderSharp/SentimentAnalysisResults.cs",
"chars": 816,
"preview": "namespace VaderSharp\n{\n /// <summary>\n /// A model to represent the result of analysis.\n /// </summary>\n pu"
},
{
"path": "VaderSharp/VaderSharp/SentimentIntensityAnalyzer.cs",
"chars": 12406,
"preview": "using System;\nusing System.Collections.Generic;\nusing System.Linq;\n\nnamespace VaderSharp\n{\n using System.IO;\n usi"
},
{
"path": "VaderSharp/VaderSharp/SentimentUtils.cs",
"chars": 6878,
"preview": "using System;\nusing System.Collections.Generic;\n\nnamespace VaderSharp\n{\n internal static class SentimentUtils\n {\n"
},
{
"path": "VaderSharp/VaderSharp/VaderSharp.csproj",
"chars": 2560,
"preview": "<Project Sdk=\"Microsoft.NET.Sdk\">\n\n <PropertyGroup>\n <Description>A sentiment analysis algorithm in C#.</Descriptio"
},
{
"path": "VaderSharp/VaderSharp/vader_lexicon.txt",
"chars": 425964,
"preview": "$:\t-1.5\t0.80623\t[-1, -1, -1, -1, -3, -1, -3, -1, -2, -1]\n%)\t-0.4\t1.0198\t[-1, 0, -1, 0, 0, -2, -1, 2, -1, 0]\n%-)\t-1.5\t1.4"
},
{
"path": "VaderSharp/VaderSharp.sln",
"chars": 1475,
"preview": "\nMicrosoft Visual Studio Solution File, Format Version 12.00\n# Visual Studio 15\nVisualStudioVersion = 15.0.26403.7\nMini"
},
{
"path": "VaderSharp/VaderSharpTestCore/SentimentTest.cs",
"chars": 2855,
"preview": "using Microsoft.VisualStudio.TestTools.UnitTesting;\nusing System.Collections.Generic;\nusing System.Diagnostics;\nusing Va"
},
{
"path": "VaderSharp/VaderSharpTestCore/VaderSharpTestCore.csproj",
"chars": 583,
"preview": "<Project Sdk=\"Microsoft.NET.Sdk\">\n\n <PropertyGroup> \n <TargetFramework>netcoreapp1.1</TargetFramework>\n </Prope"
}
]
About this extraction
This page contains the full source code of the codingupastorm/vadersharp GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 16 files (461.4 KB), approximately 333.4k tokens, and a symbol index with 38 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.