Abstract
In this paper, we focus on topic-based microblog sentiment classification task that classify the microblog s sentiment polarities toward a specific topic. Most of the existing approaches for sentiment analysis usually adopt the target-independent strategy, which may assign irrelevant sentiments to the given topic. In this paper, we leverage the non-negative matrix factorization to get the relevant topic words and then further incorporate target-dependent features for topic-based microblog sentiment classification. According to the experiment results, our system (NDMSCS) has achieved a good performance in the SIGHAN 8 Task 2.
Cite
CITATION STYLE
Wang, Y., Wang, Y., Feng, S., Wang, D., & Zhang, Y. (2015). NDMSCS: A topic-based chinese microblog polarity classification system. In Proceedings of the 8th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2015 - co-located with 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL IJCNLP 2015 (pp. 180–184). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-3127
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