JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (1): 95-100.doi: 10.6040/j.issn.1671-9352.1.2015.C03

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Text topic mining of archives research based on SVD

FENG Guo-he, WANG Dan-di, LI Mei-chan   

  1. College of Economic &
    Management, South China Normal University, Guangzhou 510006, Guangdong, China
  • Received:2015-05-27 Online:2016-01-16 Published:2016-11-29

Abstract: The data of National Social Science Fund Project on Archives Field from 2010 to 2014 were collected, the words of the project title are separated, and the term-document matrix was obtained. According to the importance level of the terms, local and whole weight was designed, local weight was integrated with whole weight, which obtained the weight value of the term-document matrix. Feature dimension reduction was implemented by SVD, the recent National Social Science Archives Project themes in different dimensions were studied. Eventually, seven research topics of social science archives were obtained by visually analyzing, which were the intangible cultural heritage protection, electronic document management, digital resource construction, value and research of the archival information resource, archival information protecting system, research of the archives, security of the archival information.

Key words: term-document matrix, singular value decomposition, topic mining, weight design, archives project

CLC Number: 

  • TP391.1
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