首页    期刊浏览 2024年09月21日 星期六
登录注册

文章基本信息

  • 标题:A SURVEY ON TEXT CLASSIFICATION TECHNIQUES AND APPLICATIONS
  • 本地全文:下载
  • 作者:CT.Vidhya ; S.M.Nithya ; T.Vishnu Priya
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:1
  • 页码:30-34
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Text classification is the way of discovering knowledge from ubiquitous text data which are easily accessible over the Internet or the Intranet. Automated text classification has been considered as a vital method to manage and process a vast amount of documents in digital forms that are widespread and continuously increasing. In general, text classification plays an important role in information extraction and summarization, text retrieval, and question answering. This paper illustrates the text classification techniques and applications.
  • 关键词:Text classification; feature reduction; ; document clustering; feature selection
国家哲学社会科学文献中心版权所有