Заработка машины для прогнозирования PettimentAnalysis Python
>>> from sklearn.feature_extraction.text import CountVectorizer>>> vectorizer = CountVectorizer(tokenizer = spacy_tokenizer, ngram_range=(1,1))>>> #By default, the vectorizer might be created as follows:>>> #vectorizer = CountVectorizer()>>> vectorizer.fit(reviews_train)
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