Title | ||
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Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval. |
Abstract | ||
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This study addresses the problem of Chinese microblog opinion retrieval, which aims to retrieve opinionated Chinese microblog posts relevant to a target specified by a user query. Existing studies have shown that lexicon-based approaches employed online public sentiment resources to rank sentimentwords relying on the document features. However, this approach could not be effectively applied to microblogs that have typical user-generated content with valuable contextual information: “user–user” interpersonal interactions and “user–post/comment” intrapersonal interactions. This contextual information is very helpful in estimating the strength of sentiment words more accurately. In this study, we integrate the social contextual relationships among users, posts/comments, and sentiment words into a mutual reinforcement model and propose a unified three-layer heterogeneous graph, on which a random walk sentiment word weighting algorithm is presented to measure the strength of opinion of the sentiment words. Furthermore, the weights of sentiment words are incorporated into a lexicon-based model for Chinese microblog opinion retrieval. Comparative experiments are conducted on a Chinese microblog corpus, and the results show that our proposed mutual reinforcement model achieves significant improvement over previous methods. |
Year | DOI | Venue |
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2018 | 10.1007/s11704-016-6163-5 | Frontiers Comput. Sci. |
Keywords | Field | DocType |
opinion retrieval,sentiment words,lexicon weighting,mutual reinforcement model | Intrapersonal communication,Weighting,Computer science,Natural language processing,Artificial intelligence,Graph,World Wide Web,Contextual information,Social media,Interpersonal communication,Microblogging,Lexicon,Reinforcement,Machine learning | Journal |
Volume | Issue | ISSN |
12 | 4 | 2095-2228 |
Citations | PageRank | References |
3 | 0.37 | 17 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jingjing Wei | 1 | 3 | 1.72 |
Xiangwen Liao | 2 | 9 | 1.79 |
Houdong Zheng | 3 | 6 | 1.43 |
Guolong Chen | 4 | 52 | 11.10 |
Xueqi Cheng | 5 | 3148 | 247.04 |