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(to be completed)

 


ThinkMind // International Journal On Advances in Software, volume 4, numbers 3 and 4, 2011 // View article soft_v4_n34_2011_25


Automatic Categorisation of E-Journals by Synonym Analysis of n-grams

Authors:
Richard Hussey
Shirley Williams
Richard Mitchell

Keywords: Automatic Tagging; Document Classification; Keyphrases; Keyword Extraction; Single Document; Synonyms; Thesaurus

Abstract:
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 a 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 an appropriate and diverse range of keyphrases that reflect the document. This paper proposes two possible solutions that examine the synonyms of words and phrases in the document to find the underlying themes, and presents these as appropriate keyphrases. Using three different freely available thesauri, the work undertaken examines two different methods of producing keywords and compares the outcomes across multiple strands in the timeline. 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. In addition, the different qualities of the thesauri are examined and it is concluded that the more entries in a thesaurus, the better it is likely to perform. The age of the thesaurus or the size of each entry does not correlate to performance.

Pages: 532 to 542

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: April 30, 2012

Published in: journal

ISSN: 1942-2628

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