Application of different feature selection and machine learning techniques in web page classification

Abstract

It is obvious that search engines are in rampant use in today's web world for tracing Web documents) through particular keynotes which ultimately projects both the relevant and irrelevant ones, which contains the same keywords. Of course, web information is exponentially increasing now and then. While so, manual classifications of Web documents are redundant, inaccurate, complex and also a time consuming process. Though several researchers do sustained research for classifying the Web documents, they are not able to produce the accurate results. Hence, automatic classification of Web documents is the need of the hour to solve all such issues. At this juncture, this paper here presents different feature selection, machine learning techniques and its methods, performance and dataset applied in the classification of Web pages