计算机应用研究2017，Vol.34Issue(4)：986-990,5.DOI:10.3969/j.issn.1001-3695.2017.04.006
利用三层条件随机场模型进行情感极性分类及强度分析
Sentiment classification and strength analysis method based on three-layered conditional random fields
李向前 1李军伟1
作者信息
- 1. 北京交通大学计算机与信息技术学院,北京100044
- 折叠
摘要
Abstract
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.关键词
商品评论/情感分类/情感强度分析/条件随机场Key words
product reviews/sentiment classification/sentiment strength analysis/conditional random fields分类
信息技术与安全科学引用本文复制引用
李向前,李军伟..利用三层条件随机场模型进行情感极性分类及强度分析[J].计算机应用研究,2017,34(4):986-990,5.
