Semantic Based Text Classification Using WordNets: Indian Language Perspective

Automatic text classification is an area that has received a great deal of attention in recent research due to current growth of Internet, which has resulted in huge amount of information that has become a challenge to access efficiently. This paper describes an experimental result on how to create an automatic efficient and effective tool that is able to classify large documents quickly. Our method is built on lexical chain of linking significant words that are about a particular topic with the help of hypernym relation in WordNet. We have tested for the Indian language Sanskrit using SanskritNet and also extracting and scoring lexical chain considering with necessary design decisions.