Created
November 14, 2016 16:17
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Lemmatization
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| import nltk | |
| from nltk.stem import WordNetLemmatizer | |
| from sklearn.feature_extraction.text import CountVectorizer | |
| def tokenize(text): | |
| text = ''.join([ch for ch in text if ch not in string.punctuation]) | |
| tokens = nltk.word_tokenize(text) | |
| lemmatizer = WordNetLemmatizer() | |
| return [lemmatizer.lemmatize(token) for token in tokens] | |
| vectorizer = CountVectorizer(tokenizer=tokenize, stop_words='english') |
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