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Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification (1405.3518v2)

Published 14 May 2014 in cs.CL and cs.IR

Abstract: We provide a simple but novel supervised weighting scheme for adjusting term frequency in tf-idf for sentiment analysis and text classification. We compare our method to baseline weighting schemes and find that it outperforms them on multiple benchmarks. The method is robust and works well on both snippets and longer documents.

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Authors (2)
  1. Yoon Kim (92 papers)
  2. Owen Zhang (3 papers)
Citations (20)

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