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Keyphrase extraction by synonym analysis of n-grams for e-journals categorisation

Hussey, R., Williams, S. and Mitchell, R. (2011) Keyphrase extraction by synonym analysis of n-grams for e-journals categorisation. In: eKNOW 2011 : The Third International Conference on Information, Process, and Knowledge Management, February 23-28, 2011, Guadeloupe, France, pp. 83-86.

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Abstract/Summary

Automatic keyword or keyphrase extraction is concerned with assigning keyphrases to documents based on words from within the document. Previous studies have shown that in a significant number of cases author-supplied keywords are not appropriate for the document to which they are attached. This can either be because they represent what the author believes the paper is about not what it actually is, or because they include keyphrases which are more classificatory than explanatory e.g., “University of Poppleton” instead of “Knowledge Discovery in Databases”. Thus, there is a need for a system that can generate appropriate and diverse range of keyphrases that reflect the document. This paper proposes a solution that examines the synonyms of words and phrases in the document to find the underlying themes, and presents these as appropriate keyphrases. The primary method explores taking n-grams of the source document phrases, and examining the synonyms of these, while the secondary considers grouping outputs by their synonyms. The experiments undertaken show the primary method produces good results and that the secondary method produces both good results and potential for future work.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:19584
Uncontrolled Keywords:Automatic tagging, Document classification, Keyphrases, Keyword extraction, Single document, Synonyms, Thesaurus

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