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Text mining, also known as Intelligent Text Analysis is an important research area. It is very
difficult to focus on the most appropriate information due to the high dimensionality of data. Feature
Extraction is one of the important techniques in data reduction to discover the most important
features. Proce- ssing massive amount of data stored in a unstructured form is a challenging task.
Several pre-processing methods and algo- rithms are needed to extract useful features from huge
amount of data. The survey covers different text summarization, classi- fication, clustering methods to
discover useful features and also discovering query facets which are multiple groups of words or
phrases that explain and summarize the content covered by a query thereby reducing time taken by
the user
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