Sentiment Classification Method Based on Status and Action Description
Qiaoming Zhu · Jisuanji gongcheng · 2012
In order to make use of different information of sentiment text.This paper proposes sentiment classification method based on status and action description.It aims to classify the sentimental text into two views called status views and action views and employs them in supervised sentiment classification.In order to get the two views,it manually annotates corpus and trains a binary classifier with the corpus to detect the two views.Each view is trained to be a single classifier and an ensemble of the individual classifiers is employed to improve the effect of the classification.Experimental results show the classification effectiveness of the proposed method has improvement on three domains of Chinese sentiment classification tasks.