Approach Research of Keyword Extraction Based on Web Pages Document

Abstract

Keywords selection is a fast growing industry in which different tools are used by the companies to suggest their webpage's keywords. 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 tool. The accuracy of the proposed method is 82.4%, which consider being a promising result. The experimental results show that this system in the judgment and the readability of web page content were superior to the general web page design of automatic summarization.