Personalized Web Classifier

Abstract

Web Page classification is a primary effort for the semantic of web, which helps us for the natural language processing (NLP). Web Page Classification comes under Web mining research area. Web mining is one of the emerging areas in the current world. Web-page classification is much more difficult than pure-text Classification due to a large variety of noisy information embedded in Web pages. The uncontrolled nature of web content presents additional challenges to web page classification as compared to traditional text classification, but the interconnected nature of hypertext also provides features that can assist the process. Recently Web-pages on the World Wide Web are explosively increasing, and it is now required for portal sites such as Yahoo! service having directory-style search engines to classify Web-pages into many categories automatically. Further we can also classify the web based upon our personal criteria. It is also helpful for the mining Search Engine (Google) results. In this report, a method for Web-page classification is implemented. Various Data Mining techniques like Association, Decision tree are applied in the field of Web Mining.