Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (s2): 88-92.doi: 10.13190/jbupt.2006s2.88.302

• Papers • Previous Articles     Next Articles

Language Cognition and Topic Identification

GUO Yan-hui1,2, WANG Cong1, ZHONG Yi-xin1   

  1. 1. School of Information Engineering , Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. Department of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China)
  • Received:2006-09-01 Revised:1900-01-01 Online:2006-11-30 Published:2006-11-30
  • Contact: GUO Yan-hui

Abstract:

Based on the analysis of the principle and method of two outstanding language models in recent years, that are Latent Semantic Analysis and Topic Model, the prospects of the two models on topic identification and text mining was presented. And the new strategy for the natural language understanding were proposed on the basis of the Comprehensive Information Natural Language Understanding methodology, that is, should make full use of the research findings of cognitive science nowadays in a new pragmatic perspective, explore the essence of the natural language to realize the computer understanding human’s language indeed.

Key words: language cognition, latent semantic analysis, topic model, topic identification, comprehensive information

CLC Number: