Ontology Based Opinion Mining for Movie Reviews

被引:0
|
作者
Zhao, Lili [1 ]
Li, Chunping [1 ]
机构
[1] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Key Lab Informat Syst Secur, Sch Software,Minist Educ, Beijing 100084, Peoples R China
关键词
Ontology; Opinion mining; Sentiment analysis; Feature extraction;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ontology itself is an explicitly defined reference model of application domains with the purpose of improving information consistency and knowledge sharing. It describes the semantics of a domain in both human-understandable and computer-processable way. Motivated by its success in the area of Information Extraction (IE), we propose an ontology-based approach for opinion mining. In general, opinion mining is quite context-sensitive, and, at a coarser granularity, quite domain dependent. This paper introduces a fine-grain approach for opinion mining, which uses the ontology structure as an essential part of the feature extraction process, by taking account the relations between concepts. The experiment result shows the benefits of exploiting ontology structure to opinion mining.
引用
收藏
页码:204 / 214
页数:11
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