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A practical system of keyphrase extraction for web pages

Mo Chen, Jian-Tao Sun, Hua-Jun Zeng, and Kwok-Yan Lam

Abstract

Keyphrases can be used to facilitate Web users grasping the main topic(s) of a Web page. We present a practical system of automatic keyphrase extraction for Web pages. In this system, a regression model was first trained based on a set of human-labeled documents. Then it was used to extract keyphrases from new pages automatically. This paper makes three contributions. First, the structure information in a Web page was investigated for keyphrase extraction task. Second, the query log data associated with a Web page collected by a search engine server were used to help keyphrase extraction. Third, a method was put forward in this paper in order to evaluate the similarity of phrases.

Details

Publication typeProceedings
Published inCIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management
URLhttp://doi.acm.org/10.1145/1099554.1099625
Pages277–278
ISBN1-59593-140-6
AddressNew York, NY, USA
PublisherACM
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