首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Research and Implementation of Text Similarity System Based on Power Spectrum Analysis
  • 本地全文:下载
  • 作者:Ying Xie ; Shouning Qu ; Huanhuan Song
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2014
  • 卷号:02
  • 期号:06
  • 页码:7-17
  • DOI:10.4236/jcc.2014.26002
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:The paper proposed the research and implement of text similarity system based on power spectrum analysis. It is not difficult to imagine that the signals of brain are closely linked with writing process. So we build text modeling and set pulse signal function to get the power spectrum of the text. The specific detail is getting power spectrum from economic field to build spectral library, and then using the method of power spectrum matching algorithm to judge whether the test text belonged to the economic field. The method made text similarity system finish the function of text intelligent classification efficiently and accurately.
  • 关键词:Pulsing Signal Function; Power Spectrum Matching Algorithm; Text Similarity System; Text Intelligent Classification
国家哲学社会科学文献中心版权所有