A Compara t ive Study on Key Phrase Ex t rac t ion

Web Site Summarization is the process af automatically generating a concise and informative summary for a given Web site. It has gained more and more a t t en t i on i n recen t Yea rs as e f f ec t i ve summarization could lead to enhanced Web information retrieval systems such as searching for Web sites. E x t r a c t i o n b a s e d a p p r o a c h e s t o W e b s i f e summarization rely on the extraction of the most significant sentences from the target Web site based on the density of a list of key phrases that best describe the entire Web site. In this wark, we benchmark five alternative key phrase extraction methods, TFIDF, KEA, Keyword, Keyterm, and Mixture, in an automatic Web site summarization framework we previously developed. We investigate the performance af these underlying methods via a farmal user study and demonstrate that Keyterm is the best chaice for key phrase extraction while Mixture shauld be used to obtain key sentences. We also discuss why one method performs better than another and what could be done to further improve the summarizatian system. Categories and Subj ect Descr iptors H.3.1 [Contart Analydsand Indexing]; Linguistic processing | .2.7 [Natural L anguage Processi ng] General Terms Web contcnt analysis. Web page slttttmarization, Web informllt ir-rn t c l r i r ' \ i . r l \ \ \ len l \ cr rnt r 'n t l rgg rcgal i r r t t