Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms
Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms
Yang Liu,Jianwei Bi,Z. Fan
2017 · DOI: 10.1016/j.eswa.2017.03.042
Expert systems with applications · 191 Citations
TLDR
A framework for multi-class sentiment classification is proposed, and the results show that, in terms of classification accuracy, gain ratio performs best among the four feature selection algorithms and support vector machine performsbest among the five machine learning algorithms.