DOI: 10.7763/IJCTE.2013.V5.672
Webpage Keyword Extraction Using Term Frequency
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: Lamiaa.mostafa31@gmail.com).
Cite: Lamiaa Mostafa, "Webpage Keyword Extraction Using Term Frequency," International Journal of Computer Theory and Engineering vol. 5, no. 1, pp. 174-177, 2013.