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  • 标题:An Approach for Online Analysis using Expectation Maximization
  • 本地全文:下载
  • 作者:Arti Buche ; Dr. M.B.Chandak ; Akshay Zadgaonkar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2013
  • 卷号:1
  • 期号:4
  • 出版社:S&S Publications
  • 摘要:Opinion rich web resources such as discussion forums, review sites and blogs which are bulky and areavailable in digital form. For the purpose of customer and business perspective, the task of scanning these reviewsmanually is computational burden. Hence, to process reviews automatically and summarizing them in suitable form ismore efficient. The distinguished problem of producing opinion summary addresses is how to determine the mood,sentiment or opinion expressed in the review with respect to a numerical feature value. In this paper, the focus is on themain task of opinion mining called as opinion summarization. The extraction of product feature, technical feature valueand opinion are critical for opinion summarization as they affect the performance significantly. The proposed approachconsists of a software system in which mining of product feature, technical feature value and opinion is performed. Themain motto of this software system is to recognize the technical feature value depending on which the reviews aresummarized. This software is helpful for humans to understand the technical values expressed in the reviews.
  • 关键词:Opinion Mining; opinion summarization; product reviews; product features; technical features
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