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文章基本信息

  • 标题:INVESTIGATION OF SUPPORT VECTOR MACHINE CLASSIFIER FOR OPINION MINING
  • 本地全文:下载
  • 作者:K.SARASWATHI ; Dr. A.TAMILARASI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:59
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Complicated text understanding technology which extracts opinion, and sentiment analysis is called opinion mining. Building systems to collect/examine opinions about a product in blog posts, comments, and reviews/tweets is sentiment analysis. Product reviews are the focus of existing work on review mining and summarization. This study focuses on movie reviews, investigating opinion classification of online movie reviews based on opinion/corpus words used regularly in reviewed documents.
  • 关键词:Opinion Mining; Classification Accuracy; Sentiment analysis; Movie reviews; Support Vector Machine; Bagging
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