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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
Editor-in-chief
IJET 2013 Vol.6(2): 119-122 ISSN: 1793-8236
DOI: 10.7763/IJET.2014.V6.678

Text Documents Classification Using Word Intersections

Mohamed Ali AlShaari

Abstract—There are many methods that can be used to classify documents, some of these methods depend on discipline and others depend upon human orientation. Nonetheless all of them have certain degree and type of difficulty. This work was designed to introduce a simple idea that can be used to classify any text document. The hypothesis was based on the fact that every science, discipline or any field of knowledge has its own terminologies. Therefore, the algorithm (software system) was developed employing some operations in set theory to extract the terminologies within a certain discipline. These terminologies were used to classify text documents, whether they are related to specific discipline. The algorithm written to carry out all necessary operations was implemented using Matlab. The system developed was tested, and the results obtained were accurate. It is anticipated that this system can be used to facilitate e-translation of documents to produce more meaningful translation.

Index Terms—Classification, intersection, set, terminology

Mohamed AlShaari is with the Department of computer science, Benghazi University, Benghazi, Libya (e-mail: Mohamed.shaari@gmail. com).

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Cite:Mohamed Ali AlShaari, "Text Documents Classification Using Word Intersections," International Journal of Engineering and Technology vol. 6, no. 2, pp. 119-122, 2014.

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