Sentiment classification and strength analysis method based on three-layered conditional random fields
In research about product comments,aspect-based emotion analysis can help people to find out strengths and weaknesses of each aspect of a product.This paper proposed a sentiment analysis method based three-layered CRF model.It used all word,part of speech,modal particles,degree word,co-occurrence of aspect and evaluation term features in CRFs model.The F1-measure of emotion sentence recognition,emotional polarity classification and emotional strength analysis were 86.3％,77.2％ and 70.7％ respectively.It proves that layered CRF leads to better result in each layer than usual CRF,modal particles,degree word,co-occurrence of aspect and evaluation term are all useful features in sentiment analysis.
product reviewssentiment classificationsentiment strength analysisconditional random fields
国家科技期刊平台
NSTL
万方数据
维普
