International Journal of Computer Science and Communication Networks (IJCSCN)
Web mining involves activities such as document clustering, community mining etc. to be performed on web. Such tasks need measuring semantic similarity between words. This helps in performing web mining activities easily in many applications. However, the accuracy of measuring semantic similarity between any two words is difficult task. In this paper a new approach is proposed to measure similarity between words. This paper is based on text snippets and page counts. These two measures are taken from the results of a search engine like Google.