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  • 标题:Feature based Star Rating of Reviews: A Knowledge-Based Approach for Document Sentiment Classification
  • 本地全文:下载
  • 作者:Shaishav Agrawal ; Tanveer J. Siddiqui
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2012
  • 卷号:5
  • 期号:4
  • 出版社:SERSC
  • 摘要:This paper presents a novel knowledge-based approach for star rating of reviews. It uses SentiWordNet and linguistic heuristics to determine sentiment orientation of sentences, which is used to assign a positive, negative and objective score to document to achieve 5-star rating of movie reviews. A method for generating ratings based on individual features is also presented. The experimental results on sentiment scale dataset demonstrate the effectiveness of our approach
  • 关键词:Opinion Mining; Sentiment Polarity; Sentiment Classification; Star Rating; ;SentiWordNet
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