doi: 10.7763/IJET.2014.V6.678
Text Documents Classification Using Word Intersections
Mohamed Ali AlShaari
- the Department of computer science
Abstract
There are many methods that can be used toclassify documents, some of these methods depend on disciplineand others depend upon human orientation. Nonetheless all ofthem have certain degree and type of difficulty. This work wasdesigned to introduce a simple idea that can be used to classifyany text document. The hypothesis was based on the fact thatevery science, discipline or any field of knowledge has its ownterminologies. Therefore, the algorithm (software system) wasdeveloped employing some operations in set theory to extractthe terminologies within a certain discipline. Theseterminologies were used to classify text documents, whetherthey are related to specific discipline. The algorithm written tocarry out all necessary operations was implemented usingMatlab. The system developed was tested, and the resultsobtained were accurate. It is anticipated that this system can beused to facilitate e-translation of documents to produce moremeaningful translation.
Keywords
- Classification
- intersection
- set
- terminology
How to Cite
Mohamed Ali AlShaari, "Text Documents Classification Using Word Intersections," International Journal of Engineering and Technology, vol. 6, no. 2, pp. 119-122, 2014. https://doi.org/ 10.7763/IJET.2014.V6.678
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).