Research on sentiment classification of Uighur reviews
Wang Yuguan · Computer Engineering and Applications Journal · 2011
Sentiment classification is an applied technology.Up to now,most researches of sentiment classification are on English and Chinese reviews,little work has been done on Uighur reviews.This paper chooses n-gram model as a text representation,mutual information,information gain,CHI statistics and document frequency as different feature selection methods,selects the number of different characteristics to Naǐve Bayes,ME(Maximum Entropy) and SVM(Support Vector Machine) as different text classification methods respectively.Experiments are carried out,and the experimental results show that sentiment classification obtains high performance,when using Unigrams representation,5 000 features,ME or SVM classifier.