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now were going to move on to a new problem which is document classification and well use an example as an example the imdb movie reviews database so imdb is a corpus theres an app and you can and look at it and it gives you reviews of movies so you can look up details of movies and theyve also got user reviews so people can contribute reviews to imdb and you can look at the reviews now a review is a document right its usually a short document and uh its its what people they just say something about the movie and sometimes they positive sometimes theyre negative and we theres a corpus the imdb corpus has got 50 000 reviews and theyve been rated by labelers and theyve been rated um in terms of sentiment as positive or negative right so some some people read the reviews and decide this is a positive review this is a negative review and so that label has been assigned and half the reviews in this corpus are labeled positive half are negative it might sound like an easy task rig