Sentiment Classification for Chinese Reviews with Machine Learning

QU Ren-jing · Journal of Jilin University(Science Edition) · 2009

We solved the Chinese review sentiment classification problem via describing and evaluating several machine learning approaches(Nave Bayes,maximum entropy and support vector machines) on some features of the Chinese reviews.The experiment shows the three machine learning methods perform well especially support vector machines,and the accuracy of sentence level is up to 88.26%,the accuracy of review level is up to 91.79%.

Read the paper · More papers on PaperTik