2013 Volume 20 Issue 5 Pages 683-705
We propose an automatic method for detecting complaint sentences from review documents. The proposed method consists of two procedures. One is a data generation procedure using sentiment lexicons and context coherence and the other is the expansion of a naive Bayes classifier based on the characteristics of the training data. This method has an advantage of not requiring human effort for the creation of large-scale training data and management of rules for complaint detection. The experimental results indicate that this method is more effective than the baseline methods.