Context Based Word Sense Extraction in Text

In the era of modern e-document technology, everyone using computerized document for their purpose. Due to huge amount of text document available in the form of pdf, doc, txt, html, and xml user may confuse about reading sense of these entire documents, if same word interpret different sense. Word sense has always been an important problem in information retrieval and extraction, as well as, text mining, because machines don’t have that much intelligence as compared to human to sense word in particular context. User want to determine which sense of a word is used in a given context. Word is usage-based, and part of it can be created automatically from an electronic dictionary. This paper describes word sense as expressed by its WordNet synsets, arranged according to their relevance and their context are expressed by means of word association