Question: Q 4 . Generate a sparse matrix using cosine _ similarity for the first 1 0 0 th tweets in this dataset. Q 5 .

Q4. Generate a sparse matrix using cosine_similarity for the first 100th tweets in this dataset.
Q5. Find the highest cosine similarity for the first 100th tweets in this dataset.
Q6. Find the top 3 words that are closest to 'France - Paris + Berlin' using word2vec.
Q7. Compute the document similarity (Word Movers Distance) between the 100th and 1,000th tweets.
Q8. Remove stopwords before computing the document similarity (Word Movers Distance) between the 100th and 1,000th tweets.

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