Feature selection for Chinese online reviews sentiment classification
Xian Chen, Jing Ma, Yueming Lu · 2013
Considering that traditional feature selection methods (DF, MI and IG) usually lost useful information, we propose the Feature Selection for Chinese Online Reviews Sentiment Classification (FSCSC), FSCSC takes empirical analysis into account and focus on how to effectively select different types of features based on statistical approaches to improve sentiment classification performance. FSCSC was tested on a Chinese online reviews corpus with a size of 4000 documents. The experiment indicates that FSCSC can improve the classification effectiveness.