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  • 标题:Partially Supervised Word Alignment Method for Co-Extracting Opinion Target and Opinion Words with Polarity Classification
  • 本地全文:下载
  • 作者:Ramya V. V. ; Shahad P.
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:8
  • 页码:15672
  • DOI:10.15680/IJIRSET.2016.0508179
  • 出版社:S&S Publications
  • 摘要:In recent years web technologies lead to an large quantity of user generated opinion in online systems.This large amount of opinion on web make them viable for use as data sources. As e-commerce is more and morepopular, the number of customer reviews related to product receives grows rapidly. Hundreds or even thousandsnumber of reviews are in online. It is very difficult to read and to make an informed decision on whether to purchasethe product. In this case Mining opinion targets and opinion words from online reviews is an important tasks. Mainlytwo steps are involved to extract the opinion targets and opinion words from online reviews. First detecting opinionrelations among words, it is based on alignment model. Alignment process identifying online opinion relations. Nextstep calculate the confidence of each candidate. Finally, extracted opinion targets or opinion words with higherconfidence.
  • 关键词:Opinion mining; Opinion target; Opinion word; Syntactic pattern; Confidence; Tagging; Supervised;method
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