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April 06, 2025 to April 10, 2025 - Valencia, Spain
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April 06, 2025 to April 10, 2025 - Valencia, Spain
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September 28, 2025 to October 02, 2025 - Lisbon, Portugal
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SoftNet 2025 Congress
September 28, 2025 to October 02, 2025 - Lisbon, Portugal
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SocSys 2025 Congress
October 26, 2025 to October 30, 2025 - Barcelona, Spain
NetWare 2025 Congress
October 26, 2025 to October 30, 2025 - Barcelona, Spain
- SENSORCOMM 2025, The Nineteenth International Conference on Sensor Technologies and Applications
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- FASSI 2025, The Eleventh International Conference on Fundamentals and Advances in Software Systems Integration
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- HEALTHINFO 2025, The Tenth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing
TechWorld 2025 Congress
October 26, 2025 to October 30, 2025 - Barcelona, Spain
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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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