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This tutorial introduces document classification using the IMDb movie reviews database as an example. IMDb is a corpus with user-contributed reviews that are labeled as positive or negative based on sentiment. The corpus contains 50,000 reviews, with half labeled as positive and half as negative. Reviews are short documents expressing opinions about movies, which can be either positive or negative. The goal is to classify these reviews accurately based on their sentiment.
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