A Multi-strategy Approach to Cross-Lingual Sentiment Analysis
ZHANG Peng1, WANG Suge1, 2, LI Deyu1, 2
1.School of Computer and Information Technology, Taiyuan, Shanxi 030006, China;
2. Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,
Taiyuan, Shanxi 030006, China)
Abstract：The rapid development of Internet has built up a large number of cyber sources. This multi-lingual information come from a global environment with diversification. Considering the characteristics of cross-language sentiment identification, this paper proposes multi-strategy approach to perform cross-language sentiment analysis. The linguistic consistent sample and hybrid concept space are used to construct a bilingual cooperative framework and a sentiment feature mixture framework, respectively. Then results of tow framework are combined to decide the final sentiment label for a single sample. Experiments show that our strategy works well on cross-language sentiment analysis tasks.
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2016, Vol. 30 
