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  • 标题:Sentiment Analysis and Opinion Mining: A Survey
  • 本地全文:下载
  • 作者:G.Vinodhini ; RM.Chandrasekaran
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:Due to the sheer volume of opinion rich web resources such as discussion forum, review sites , blogs and news corpora available in digital form, much of the current research is focusing on the area of sentiment analysis. People are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. An accurate method for predicting sentiments could enable us, to extract opinions fro m the internet and predict online custo mer's preferences, which could prove valuable for economic or marketing research. Till now, there are few different problems predominating in this research community, namely, sentiment classification, feature based classification and handling negations. This paper presents a survey covering the techniques and methods in sentiment analysis and challenges appear in the field.
  • 关键词:sentiment; opinion; machine learning; semantic.
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