Semantic graph based approach for text mining

A semantic network is a graphical notation, for representing knowledge in form of interconnected nodes and arcs. In this paper we propose a novel approach to construct a semantic graph from a text document. Our approach considers all the nouns of a document and builds a semantic graph, such that it represents entire document. We think that our graph captures many properties of the text documents and can be used for different application in the field of text mining and NLP, such as keyword extraction and to know the nature of the document. Our approach to construct a semantic graph is independent of any language. We performed an experimental analysis to validate our results to extract keywords of document and to derive nature of graph. We present the experimental result on construction of graph on FIRE data set and present its application for keyword extraction and commenting on the nature of document.