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Implementation of Multiple Words Co-occurrence Analysis and its Application in the Recognition of Research Hotspots
Received date: 2014-10-29
Revised date: 2014-12-05
Online published: 2014-12-20
The co-word analysis pays more attention to the two words co-occurrence analysis,the paper proposes multiple words co-occurrence analysis.Based on the frequent item extraction method in the association rule mining,it achieves extraction and analysis of the co-occurrence of multiple words.Taking the field of digital information transmission (HO4L) in the State Intellectual Property Office Database (SIPOD) for example,this paper exacts and deeply analyzes its most frequent words set and the longest words set.At last,based on the analysis and review on the current research hotspots in the bibliometrics,it finds that the six research hotspots in the field of HO4L.The paper introduces part of representative patents on 6 hotspots.
Gao Jiping , Ding Kun , Pan Yuntao , Yuan Junpeng . Implementation of Multiple Words Co-occurrence Analysis and its Application in the Recognition of Research Hotspots[J]. Library and Information Service, 2014 , 58(24) : 80 -85,98 . DOI: 10.13266/j.issn.0252-3116.2014.24.013
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