Term-based Features for Sentiment Classification Yusuf Ziya IÅık 5 ...
Term-based Features for Sentiment Classification Yusuf Ziya IÅık 5 ...
Term-based Features for Sentiment Classification Yusuf Ziya IÅık 5 ...
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NEAR operator●●●Instead of using bigrams in the normal sense, we will take twowords in a neighborhood of N words as an occurrence of abigram.“not very good movie” generates bigrams: “not_very, not_good,not_movie, very_good, very_movie, good_movie”.Bnn weighting scheme is used. No significant improvement.
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