SYMBOL INDEX (17 symbols across 11 files)

FILE: NLP_ALL/keywords_summary_topic/Word2vec/example.py
  function getToipc (line 11) | def getToipc(file_name,toipc_type="lda",topics_num=5,topics_words=5):

FILE: NLP_ALL/named _entity_ recognition/crf/create_corpus.py
  function max_word (line 7) | def max_word():#最长匹配  提取[中央/n  人民/n  广播/vn  电台/n]nt  样式的词，最长词，如 :中央人民广播电台/n
  function min_word (line 35) | def min_word():#最短匹配   提取[中央/n  人民/n  广播/vn  电台/n]nt  样式的词，最短词，如 :中央，人民，...

FILE: NLP_ALL/named _entity_ recognition/crf/train_and_test.py
  function getCx (line 30) | def getCx(content_words):

FILE: NLP_ALL/participle/crf/setp_1.py
  function character_tagging (line 12) | def character_tagging(input_file, output_file):

FILE: NLP_ALL/participle/crf/setp_2.py
  function crf_segmenter (line 13) | def crf_segmenter(input_file, output_file, tagger):
  function crf_fenci_text (line 50) | def crf_fenci_text(input_text, tagger):

FILE: NLP_ALL/similarity/Word2vec/sentences/train.py
  function getToipc (line 11) | def getToipc(file_name,toipc_type="lda",topics_num=5,topics_words=5):

FILE: NLP_ALL/text_classifier/sklearn/example_1.py
  function loadFile (line 12) | def loadFile():
  function getFenCiWords (line 40) | def getFenCiWords():
  function getTFIDF (line 74) | def getTFIDF():
  function getCU (line 94) | def getCU(leibieNum):

FILE: NLP_ALL/text_classifier/sklearn/example_2.py
  function loadFile (line 13) | def loadFile():
  function kmeans (line 44) | def kmeans(class_num):

FILE: NLP_ALL/text_classifier/textblob/test2.py
  function gender_features (line 11) | def gender_features(word):

FILE: NLP_ALL/text_classifier/textblob/test3.py
  function gender_features (line 11) | def gender_features(word):

FILE: NLP_ALL/word_tagging/crf/train_and_test.py
  function getCx (line 30) | def getCx(content_words):