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Term-based Features for Sentiment Classification Yusuf Ziya Işık 5 ...

Term-based Features for Sentiment Classification Yusuf Ziya Işık 5 ...

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Proximity In<strong>for</strong>mation in <strong>Term</strong>Frequency●Use a monotonically decresing kernel functionto count the number of occurrence of bigrams:●●●●Use a constant length (10) kernel function andplay with kernel width to produce differentkernels.Unigrams also added. Ann weighting schemewith separate scaling of unigrams and bigramsused.No improvement achieved.

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