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In the sentiment analysis notebook, we introduce TFIDF vectors, a way of encoding documents into a vector representation.
We then use some scikit-learn
classifiers to predict the sentiment of movie
reviews (positive or negative). Finally, we use a tool called lime
to
interpret what words in our document are relevant to our classification.