General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail:
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Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2013 Vol.5(1): 174-177 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.672

Webpage Keyword Extraction Using Term Frequency

Lamiaa Mostafa

Abstract—Search engines are used nowadays by all internet users. Keywords selection is a fast growing industry in which different tools are used by the companies to suggest their webpage's keywords. It is important to understand how different search engines would choose a webpage in a search results based on user's query. The paper’s aim is to propose a method that suggests the keywords of a webpage based on the frequent terms. The method used in this paper is term frequency for defining the frequent terms. An Experiment is executed to validate the method results; and the result of the new method is compared to Google adword tool. The accuracy of the proposed method is 82.4%, which consider being a promising result.

Index Terms—Suggestion, terms frequency, webpage, search engine.

Lamiaa Mostafa is with Business Information System Department, Arab Academy for Science and Technology and Maritime Transport Alexandria, Egypt. (e-mail:


Cite: Lamiaa Mostafa, "Webpage Keyword Extraction Using Term Frequency," International Journal of Computer Theory and Engineering vol. 5, no. 1, pp. 174-177, 2013.

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