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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

An Automatic Topic Identification Algorithm

Hossein Shahsavand Baghdadi and Bali Ranaivo-Malançon

Abstract

Problem statement: Topic is a stream of words which stands for the content of a text. Knowing the topic of a document can help people to be aware from its content and facilitate their searching process. Approach: This paper proposes an automatic algorithm to identify the topic for a textual document based on the chunks corresponding to each sentences in the document. Results and conclusion: We achieved 86% matching for both total and partial matching in our experimental data sample.

Journal of Computer Science
Volume 7 No. 9, 2011, 1363-1367

DOI: https://doi.org/10.3844/jcssp.2011.1363.1367

Submitted On: 2 February 2011 Published On: 23 July 2011

How to Cite: Baghdadi, H. S. & Ranaivo-Malançon, B. (2011). An Automatic Topic Identification Algorithm. Journal of Computer Science, 7(9), 1363-1367. https://doi.org/10.3844/jcssp.2011.1363.1367

Open AccessCopyright: © 2011 Hossein Shahsavand Baghdadi and Bali Ranaivo-Malançon. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Web document
  • text-document topic
  • partial matching
  • experimental data
  • Identification algorithm
  • chen’s algorithm
  • syntactic parser
  • Adaptive Resonance Theory (ART)
  • Maximum Ratio Balance (MRB)