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Topic identification method for textual document

Jamil, Nurul Syafidah and Ku-Mahamud, Ku Ruhana and Mohamed Din, Aniza (2017) Topic identification method for textual document. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 4 (2). pp. 6643-6647. ISSN 2458-9403

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Abstract— Topic identification is a crucial task for discovering knowledge from textual document. Existing methods for topic identification suffer from word counting problem as they depend on the most frequent terms in the text to produce the topic keyword.Not all frequent terms are relevant. This paper proposes a topic identification method that filters the important terms from the preprocessed text and applied term weighting scheme to solve synonym problem.A rule generation algorithm is used to determine the appropriate topics based on the weighted terms.The text document used in the experiment is the English translated Quran.The topics identified from the proposed method were compared with topics identified using Rough Set and domain experts. From the findings, the proposed topic identification method was consistently able to identify topics that are mostly close to the topics that have been given by Rough Set and the experts.The result from the comparison proved that the proposed method was able to be used to capture topics for textual documents.

Item Type: Article
Uncontrolled Keywords: —topic identification; filtering algorithm; rule generation; text document
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Computing
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 19 Apr 2017 07:44
Last Modified: 19 Apr 2017 07:44
URI: http://repo.uum.edu.my/id/eprint/21719

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