计算机与数字工程2017，Vol.45Issue(9)：1703-1707,1730,6.DOI:10.3969/j.issn.1672-9722.2017.09.004
基于条件随机场的中文情感分析方法比较研究
Comparative Study of Chinese Emotion Analysis Methods Based on Conditional Random Fields
摘要
Abstract
Conditional Random Field(CRF)model is a popular tool to carry out research in Chinese sentiment analysis. This paper analyzes the research status of CRF,CRF applicable for Chinese information processing is given,and a comparative study based on CRF algorithm is carried out. Using natural language processing and Chinese to calculate public evaluation results of that meeting in 2012,CRF and hidden Markov model and maximum entropy Markov model are researched comparatively,the character?istics of CRF model is summarized.关键词
条件随机场/隐马尔科夫/最大熵马尔可夫/情感分析/中文信息处理Key words
conditional random fields/hidden markov model/maximum entropy/emotion analysis/Chinese information processing分类
信息技术与安全科学引用本文复制引用
王茵,周学广,陆健..基于条件随机场的中文情感分析方法比较研究[J].计算机与数字工程,2017,45(9):1703-1707,1730,6.基金项目
国家社会科学基金军事学项目(编号:14GJ003-152)资助. （编号:14GJ003-152）
