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  • 标题:Analytical Study of Feature Extraction Techniques in Opinion Mining
  • 本地全文:下载
  • 作者:Pravesh Kumar Singh ; Mohd Shahid Husain
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 页码:85-94
  • DOI:10.5121/csit.2013.3410
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Although opinion mining is in a nascent stage of development but still the ground is set for dense growth of researches in the field. One of the important activities of opinion mining is to extract opinions of people based on characteristics of the object under study. Feature extraction in opinion mining can be done by various ways like that of clustering, support vector machines etc. This paper is an attempt to appraise the various techniques of feature extraction. The first part discusses various techniques and second part makes a detailed appraisal of the major techniques used for feature extraction
  • 关键词:Opinion Mining; Feature Extraction; Clustering; Support Vector Machines
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