Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification
Computation and Language
2014-07-01 v2 Information Retrieval
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.
Cite
@article{arxiv.1405.3518,
title = {Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification},
author = {Yoon Kim and Owen Zhang},
journal= {arXiv preprint arXiv:1405.3518},
year = {2014}
}