Classify texts on the basis of keywords into 11 different categories. I have taken a news data which have news of different genres like Politics, sports, entertainment etc. Data consist Genre , Headline , and short description. Initially there were 41 categories , out of which I have taken only 11 categories by deleting and merging initial categories. Then I have extracted keywords from the headline and description column and trained my Data-Set on Naibe-bayes and got 71% accuracy. Data I have used is in news.zip
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Classify texts on the basis of keywords into 11 different categories.
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