Generating domain-specific affective ontology from Chinese reviews for sentiment analysis
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- 作者：Li-zhen Liu ; Hao Liu …
- 关键词：affective ontology ; sentimentanalysis ; product features ; Chinese reviews ; TP 391.1
- 刊名：Journal of Shanghai Jiaotong University (Science)
- 出版年：2015
- 出版时间：February 2015
- 年：2015
- 卷：20
- 期：1
- 页码：32-37
- 全文大小：244 KB
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Hao Liu (1)
Han-shi Wang (1)
Wei Song (1)
Xin-lei Zhao (1)
1. College of Information Engineering, Capital Normal University, Beijing, 100048, China - 刊物类别：Engineering
- 刊物主题：Electrical Engineering
Life Sciences
Architecture
Chinese Library of Science - 出版者：Shanghai Jiao Tong University Press
- ISSN：1995-8188
文摘
Considering the diversities and ambiguities of opinion expressions in Chinese online product reviews, normal sentiment analysis technologies have exposed their inadequateness in both classification accuracy and identifying effectiveness. We propose a novel approach which can easily identify product features and corresponding opinions by building a domain-specific affective ontology and thus mapping comment sentences to the objects defined in the affective ontology. Ontology is created automatically by processing the online reviews; both product features and affective words are presented as nodes which are connected to each other by their semantic relationship. Furthermore, in order to increase the accuracy, we introduce a dynamic polarity detection technique for affective words whose sentimental tendencies are dependent on particular contexts. The experimental results clearly demonstrate the performance improvement of our approach compared with others in real world online product reviews for classification tests.