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Patent Term Extraction for Information Analysis
Received date: 2012-08-27
Revised date: 2012-11-23
Online published: 2013-01-05
Based on the actual need of information analysis, this paper studies 5405 pieces of patent data about electric vehicle by term extraction, rare term recognition and field comparison. The result reveals that key-phrase extraction is feasible; that average length of the documents containing terms ranked by mutual information is closer to one of collection; that terms in abstract and those in first claim are different to a certain extent, but of equal importance to text categorization/clustering; the algorithm of rare term recognition can find the corresponding relationship between rare words and high frequency words. This paper provides results and methods for patent text mining and patent information analysis, and provides reference for information analysis.
Key words： term extraction; text mining; patent; information analysis
Qu Peng , Wang Huilin . Patent Term Extraction for Information Analysis[J]. Library and Information Service, 2013 , 57(01) : 130 -135 . DOI: 10.7536/j.issn.0252-3116.2013.01.023
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