张志琳,宗成庆. 基于多样化特征的中文微博情感分类方法研究[J]. 中文信息学报, 2015, 29(4): 134-143.
ZHANG Zhilin, ZONG Chengqing. Sentiment Analysis of Chinese Micro Blog Based on Rich-features. , 2015, 29(4): 134-143.
基于多样化特征的中文微博情感分类方法研究
张志琳,宗成庆
中国科学院 自动化研究所 模式识别国家重点实验室,北京 100190
Sentiment Analysis of Chinese Micro Blog Based on Rich-features
ZHANG Zhilin, ZONG Chengqing
1. Shijiazhuang Vocational Technology Institute, Shijiazhuang, Hebei 050081, China； 2. Beijing Institute of Technology, Beijing 100081, China
Abstract：Micro blog, a new information-sharing platform, is now playing an important role in people’s daily live with the rise of Web 2.0. And micro blog sentiment analysis research also attracts more attention in recent years. This paper provides an in-depth analysis on the difference of feature representation and feature selection between the traditional sentiment classification and micro blog sentiment analysis. To avoid the drawbacks of feature selection of existing methods, we propose three simple but effective approaches for feature representation and selection, including the lexicalization hashtag feature, the sentiment word feature, and the probabilistic sentiment lexicon feature. Experimental results show that our proposed methods significantly boost the micro blog sentiment classification accuracy from 73.17% to 84.17%, outperforming the state-of-the-art method significantly.
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2015, Vol. 29 
