Comparative Study of Chinese Emotion Analysis Methods Based on Conditional Random Fields
WANG Yin
ZHOU Xueguang
LU Jian
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.
Keywords：conditional random fieldshidden markov modelmaximum entropyemotion analysisChinese information processing
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1703-1707,1730 )