对于初学者，在kaggle上做电影评论情感文本分析的时候，会碰到这么一句nltk.data.load('tokenizers/punkt/english.pickle')想看最后结果的，直接拉到页面最后

fromnltk.tokenizeimportsent_tokenizeprint(sent_tokenize(text))importnltktokenizer=nltk.data.load('tokenizers

self,filePath):f=open(filePath)raw=f.read()returnraw二分割成句子defSenToken(self,raw):#分割成句子sent_tokenizer=nltk.data.load

1.分句SentencesSegment：使用nltk中的punkt句子分割器进行断句加载：nltk.data.load('tokenizer/punkt/english.pickle')importnltkfromnltk.tokenizeimportWordPunctTokenizerimportnumpyasnp

1.输入一个段落，分成句子（Punkt句子分割器）importnltkimportnltk.datadefsplitSentence(paragraph):tokenizer=nltk.data.load

filePath): f=open(filePath) raw=f.read() returnraw二分割成句子defSenToken(self,raw):#分割成句子 sent_tokenizer=nltk.data.load