Comparing Key Phrase Extraction Methods in Automatic Web Site Summarization

Abstract

We benchmark five methods, TFIDF, KEA, Keyword, Keyterm, and Mixture, for key phrase extraction in the automatic Web site summarization task. We investigate the performance of these methods via a formal user study and demonstrate that Keyterm is the best method for extracting key phrases while Mixture is the best one for obtaining key sentences.

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Cite this paper

@inproceedings{Zhang2005ComparingKP, title={Comparing Key Phrase Extraction Methods in Automatic Web Site Summarization}, author={Yongzheng Zhang and E. Milios and Nur A. Zincir-Heywood}, year={2005} }