Count Vectorization in Python | CountVectorizer | Natural Language Processing with Python and NLTK

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[NLP with Python]: Count Vectorization in Python nltk
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CountVectorizer explained
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Комментарии
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You saved my a**. Thanks a lot sir. <3

yashsgupta
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Is there data leakage calling fit_transform on both train and test data? Should you call it on just the training data?

tjbwhitehea
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Sir I have a question and i hope that you will answer it. The clean_text() is nothing but the combined work of tokenization & stemming. In this video you have explicitly read pure(untouched) dataset and passed the clean_text() as analyzer in CountVectorization.
Unlike what you did in your previous videos, opening dataset again and again, I kept adding output columns in the main set.
clean_text() work is to stem the 'msg', but since I already have a stemmed_msg, can't I pass stemmed_mgs directly in .fit_transfrom(), without analyzer=clean_txt, if yes then please tell how because I tried and I received error.

shivendrayadav
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