Created
June 24, 2019 05:55
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lemmatizer
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| def lemmatize(self): | |
| from nltk.stem import WordNetLemmatizer | |
| wnl = WordNetLemmatizer() | |
| for i, tweet in tqdm(enumerate(self.data),'Lemmatization'): | |
| for j, word in enumerate(tweet): | |
| self.data[i][j] = wnl.lemmatize(word, pos=self.get_pos(word)) | |
| return self.data |
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