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Text Mining has become an important research area. Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. It is a variation on a field called data mining, which tries to find interesting patterns from large databases. Text mining, also known as Intelligent Text Analysis, Text Data Mining or Knowledge-Discovery in Text (KDT), refers generally to the process of extracting interesting and non-trivial information and knowledge from unstructured text. A key element is the linking together of the extracted information to form new facts or new hypotheses to be explored further by more conventional means of experimentation. In this paper, a Survey of Text Mining techniques and applications have been presented.
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