Online Reviews Sentiment Analysis Model Based on Rough Sets
Wei Jiang · Jisuanji gongcheng · 2012
In order to extract the complicated features for online reviews sentiment analysis,an online reviews sentiment analysis model based on rough sets is presented.It analyzes the traditional word bags features,and the regular collocation features are confirmed to play important role in identifying the reviews sentiment.The regular collocation features as rough rules extracted are incorporated into the sentiment analysis model,and the results on real hotel online reviews show the performance improvement under both Support Vector Machine(SVM) model and Naive Bayes model.