Tibetan Sentence Sentiment Classification Based on Emotion Dictionary
YAN Xiaodong1,2, HUANG Tao1,2
1.College of Information Engineering, Minzu University of China, Beijing 100081, China; 2.National Language Resource Monitoring & Research Minority Language Center, Beijing 100081, China
Abstract：In parallel to the emotion dictionary based text sentiment analysis of Chinese and English, we build a comprehensive and efficient polar dictionary manually, including Basic Dictionary, Privative Dictionary, Degree dictionary and Turning Dictionary. Then, we detect the polarity phrase consistituted by polarity words and qualifiers, and investigate the influence on sentence emotion polarity by adversatives. The proposed Tibetan text Sentiment analysis method based on polar dictionary is finally validated in the experiments with a good result.
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2018, Vol. 32 
