Multimodal Web Content Mining to Filter Non-learning Sites Using NLP

Abstract

Today Internet is a rapidly growing field and it has become one of the huge sources of data. Internet plays a vital role in the educational field. Every student is using e-learning technology over internet to enhance their knowledge. Web mining is one of the data mining branch which helps user to filter and extract relevant data from web and avoid the hitting of the irritating sites. In this paper we have proposed an algorithm of filtering tool which can recognize and block all non learning sites by matching the multiple patterns like text, video and images of the web pages by web content mining. Html document of web page is processed using Natural Language Processing (NLP) and Word Sense Disambiguation (WSD) for recognizing the web content of learning sites.