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논문검색

Sentiment Analysis on News Comments Based on Supervised Learning Method

목차

Abstract
 1. Introduction
 2. related Works
 3. Theory Model
  3.1. Data Collection
  3.2. Feature Selection
  3.3. Feature Weighting
  3.4. Classifiers
 4. Performance Measures
 5. Results and Discussion
  5.1. Experiment Results of DF Feature Selection
  5.2. Experiment Result of IG Feature Selection
  5.3. Experiment Result of CHI Feature Selection
  5.4. Experiment Result of MI Feature Selection
  5.5. Analysis of Experiment Results
 6. Conclusions
 Acknowledgments
 References

저자정보

  • Yan Zhao College of Management, Inner Mongolia University of Technology Huhhot, China
  • Suyu Dong College of Management, Inner Mongolia University of Technology Huhhot, China
  • Leixiao Li College of Information Engineering, Inner Mongolia University of Technology Huhhot, China

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