2001-09-17Z2011-03-11T08:54:48Zhttp://cogprints.org/id/eprint/1803This item is in the repository with the URL: http://cogprints.org/id/eprint/18032001-09-17ZExtraction of Keyphrases from Text: Evaluation of Four AlgorithmsThis report presents an empirical evaluation of four algorithms for automatically extracting keywords and keyphrases from documents. The four algorithms are compared using five different collections of documents. For each document, we have a target set of keyphrases, which were generated by hand. The target keyphrases were generated for human readers; they were not tailored for any of the four keyphrase extraction algorithms. Each of the algorithms was evaluated by the degree to which the algorithms keyphrases matched the manually generated keyphrases. The four algorithms were (1) the AutoSummarize feature in Microsofts Word 97, (2) an algorithm based on Eric Brills part-of-speech tagger, (3) the Summarize feature in Veritys Search 97, and (4) NRCs Extractor algorithm. For all five document collections, NRCs Extractor yields the best match with the manually generated keyphrases. Peter Turney