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  3. Natural Language Processing (NLP) in Python
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Frequency analysis of product reviews

You now have access to a larger dataset of TechZone product reviews. Just like before, you've preprocessed and transformed the reviews into a BoW representation X. Your task now is to analyze the word frequencies and identify the most common terms in the dataset.

To help with the analysis, a helper function called get_top_ten() is provided. It takes in a list of words and their corresponding counts, and returns the 10 most frequent words and their counts.

说明 1 / 共 2 个

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  • Derive word_counts, the total count for each word across all reviews.
  • Retrieve the list of unique words learned by the vectorizer.