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  • 标题:Performance Analysis of the Recent Role of OMSA Approaches in Online Social Networks
  • 本地全文:下载
  • 作者:J. Ashok Kumar ; S. Abirami ; S. Murugappan
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2014
  • 卷号:4
  • 期号:11
  • 页码:21-32
  • DOI:10.5121/csit.2014.41103
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this emerging trend, it is necessary to understand the recent developments taking place in thefield of opinion mining and sentiment analysis (OMSA) as part of text mining in social networks,which plays an important role for decision making process to the organization or company,Government and general public. In this paper, we present the recent role of OMSA in SocialNetworks with different frameworks such as data collection process, text pre-processing,classification algorithms, and performance evaluation results. The achieved accuracy level iscompared and shown for different frameworks. Finally, we conclude the present challenges andfuture developments of OMSA.
  • 关键词:Sentiment Analysis; Opinion Mining; Classification Algorithms; Social Media.
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