2015 | OriginalPaper | Buchkapitel
Automatically Learning Patterns in Subjectivity Classification for Vietnamese
verfasst von : Tran-Thai Dang, Nguyen Thi Xuan Huong, Anh-Cuong Le, Van-Nam Huynh
Erschienen in: Knowledge and Systems Engineering
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Opinions are subjective expressions that describe people’s viewpoints, perspectives or feeling about entities, events. They are essential information for sentiment analysis. Therefore, opinions detection, which is also called subjectivity classification, is an important task. In this paper, we propose a statistical method to automatically create the patterns for determining opinions from various resources on the web. The learned patterns are more flexible and adaptive to domain in comparison with manual creation. In this work, we obtained approximate 84% of accuracy when doing on Vietnamese comment data.