NDMSCS: A Topic-Based Chinese Microblog Polarity Classification System
نویسندگان
چکیده
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.
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