A Hybrid Method of Feature Selection for Chinese Text Sentiment Classification

@article{Wang2007AHM,
  title={A Hybrid Method of Feature Selection for Chinese Text Sentiment Classification},
  author={Suge Wang and Yingjie Wei and Wu Zhang and Deyu Li and Wei Li},
  journal={Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)},
  year={2007},
  volume={3},
  pages={435-439}
}
Text sentiment classification can be extensively applied to information retrieval, text filtering, online tracking evaluation, the diagnoses of public opinions and chat systems. In this paper, a kinds of hybrid methods, based on category distinguishing ability of words and information gain, is adopted to feature selection. For examining the impact of varying the feature dimension to classification results, using corpus of car reviews, feature dimensions, 1000, 2000 and 3000 are adopted in our… CONTINUE READING
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