SYMBOL INDEX (58 symbols across 13 files)

FILE: ai_challenge_sentiment/code/sentiment_analysis2018_baseline/data_process.py
  function load_data_from_csv (line 9) | def load_data_from_csv(file_name, header=0, encoding="utf-8"):
  function seg_words (line 17) | def seg_words(contents):

FILE: ai_challenge_sentiment/code/sentiment_analysis2018_baseline/model.py
  class TextClassifier (line 13) | class TextClassifier():
    method __init__ (line 15) | def __init__(self, vectorizer, classifier=MultinomialNB()):
    method features (line 21) | def features(self, x):
    method fit (line 24) | def fit(self, x, y):
    method predict (line 28) | def predict(self, x):
    method score (line 32) | def score(self, x, y):
    method get_f1_score (line 35) | def get_f1_score(self, x, y):

FILE: ai_challenge_sentiment/model.py
  class TextClassifier (line 13) | class TextClassifier():
    method __init__ (line 15) | def __init__(self, vectorizer, classifier=MultinomialNB()):
    method features (line 21) | def features(self, x):
    method fit (line 24) | def fit(self, x, y):
    method predict (line 28) | def predict(self, x):
    method score (line 32) | def score(self, x, y):
    method get_f1_score (line 35) | def get_f1_score(self, x, y):

FILE: ai_challenge_sentiment/train.py
  function seg_words (line 20) | def seg_words(contents):

FILE: aspect_predict.py
  class AspectPredict (line 11) | class AspectPredict(object):
    method __init__ (line 12) | def __init__(self):
    method predict (line 28) | def predict(self, text):

FILE: polarity_predict.py
  class PolarityClassifier (line 13) | class PolarityClassifier(object):
    method __init__ (line 17) | def __init__(self):
    method predict (line 42) | def predict(self, comment):

FILE: train/aspect_classifier.py
  class AspectClassifier (line 16) | class AspectClassifier(object):
    method __init__ (line 20) | def __init__(self):
    method data_process (line 40) | def data_process(self):
    method train (line 82) | def train(self, train_df):
    method test (line 102) | def test(self, test_df):

FILE: train/model/bilstm.py
  class BiLSTM (line 11) | class BiLSTM():
    method __init__ (line 12) | def __init__(self, max_features, embed_size):
    method fit (line 24) | def fit(self, x, y, batch_size, epochs, validation_split):
    method predict (line 27) | def predict(self, x):
    method evaluate (line 30) | def evaluate(self, y_true, y_pred):
    method _make_predict_function (line 40) | def _make_predict_function(self):

FILE: train/model/model.py
  class TextClassifier (line 14) | class TextClassifier():
    method __init__ (line 16) | def __init__(self, vectorizer, classifier=MultinomialNB()):
    method features (line 22) | def features(self, x):
    method fit (line 25) | def fit(self, x, y):
    method predict (line 29) | def predict(self, x):
    method score (line 33) | def score(self, x, y):
    method get_f1_score (line 36) | def get_f1_score(self, x, y):

FILE: train/polarity_classifier.py
  class PolarityClassifier (line 18) | class PolarityClassifier(object):
    method __init__ (line 22) | def __init__(self):
    method data_process (line 48) | def data_process(self):
    method gen_tokenizer (line 69) | def gen_tokenizer(self, cut_corpus_list):
    method gen_train_test (line 78) | def gen_train_test(self, x, y):
    method train (line 82) | def train(self, X_train, y_train):
    method test (line 98) | def test(self, X_test, y_test):
    method batch_predict (line 114) | def batch_predict(self, batch_cmt_df):

FILE: utils/data_process.py
  function nan_to_others (line 14) | def nan_to_others(df):
  function seg_words (line 30) | def seg_words(contents):
  function gen_text_vec (line 38) | def gen_text_vec(tokenizer, cut_corpus_list, maxlen):
  function category_transpose (line 44) | def category_transpose(df, category_list):
  function load_aspect_list (line 57) | def load_aspect_list(path_config):
  function merge_excel (line 70) | def merge_excel(path_data_dir):
  function remove_empty_row (line 93) | def remove_empty_row(df, column_name):

FILE: utils/grammar.py
  function chinese_only (line 8) | def chinese_only(txt_list):

FILE: utils/utils.py
  function delimiter (line 7) | def delimiter():