We provide a simple but novel supervised weighting scheme for adjusting termfrequency in tf-idf for sentiment analysis and text classification. We compareour method to baseline weighting schemes and find that it outperforms them onmultiple benchmarks. The method is robust and works well on both snippets andlonger documents.
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