NDLI: Keyword extraction of web pages based on domain thesaurus

Content Provider	IEEE Xplore Digital Library
Author	Guowan He Jie Wang Yafeng Zhang Yan Peng
Copyright Year	2014
Description	Author affiliation: Sch. of Manage., Capital Normal Univ., Beijing, China (Guowan He; Jie Wang; Yafeng Zhang; Yan Peng)
Abstract	This paper presents a keyword extraction method of web pages based on domain thesaurus. The method extracts keywords from web pages based on traditional statistic features, such as frequency and location, and it also evaluates the weight of candidate keywords combining with their relation of domain thesaurus. This method can effectively identify domain keywords of web pages with low frequency but more information in specific area. Based on the web pages keywords extraction of environment domain as an example, this paper introduces the framework and algorithm of the method. Experimental results show that, compared with the traditional TF-IDF method, this method has a better keyword extraction performance in environment-related web pages, an average of 20% recall rate, and an average of 15 percent accuracy rate.
Starting Page	310
Ending Page	314
File Size	646749
Page Count	5
File Format	PDF
ISBN	9781479947201
e-ISBN	9781479947195
DOI	10.1109/CCIS.2014.7175749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Accuracy Keyword extraction Keyword of web pages Feature extraction Thesauri Domain thesaurus Keyword weight
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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