Abstract

Text mining is used to extract hidden valuable information from semi-structured or unstructured. The amount of information available is day by day increasing at a dramatic rate. This reality has led to investigate various text mining techniques. In this paper our focus is to review the basic concept of various text mining techniques and its applications. We present the basic differences between relative terminologies on the basis of motivation, process and model used and the algorithms used. In addition to this we have also discussed a comparison between text mining techniques on the basis of characteristic, algorithms used, models used and tools.

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