Text Mining is the process of analyzing a semantically rich document or set of documents to understand the content and meaning of the information they contain. The research in Text Mining will enhance human’s ability to process massive quantities of information, and it has high commercial values. Firstly, the paper discusses the introduction of TM its definition and then gives an overview of the process of text mining and the applications. Up to now, not much research in text mining especially in concept/entity extraction has focused on the ambiguity problem. This paper addresses ambiguity issues in natural language texts, and presents a new technique for resolving ambiguity problem in extracting concept/entity from texts. In the end, it shows the importance of TM in knowledge discovery and highlights the up‐coming challenges of document mining and the opportunities it offers.
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Text Association Analysis and Ambiguity in Text Mining
Bhonde, S. B.; Paikrao, R. L.; Rahane, K. U.
Follow AIP Conference Proceedings
, Volume 1324 (1)
American Institute of Physics – Nov 6, 2010
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