In sect 34 we review methods for visual text mining

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Unformatted text preview: r structuring collections either try to assign keywords to documents based on a given keyword set (classification or categorization methods) or automatically structure document collections to find groups of similar documents (clustering methods). In the following we first describe both of these approaches. Furthermore, we discuss in Sect. 3.3 methods to automatically extract useful information patterns from text document collections. In Sect. 3.4 we review methods for visual text mining. These methods allow in combination with structuring methods the development of powerful tools for the interactive exploration of document collections. We conclude this section with a brief discussion of further application areas for text mining. 3.1 Classification Text classification aims at assigning pre-defined classes to text documents (Mitchell 1997). An example would be to automatically label each incoming news story with a topic like "sports", "politics", or "art". Whatever...
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This note was uploaded on 06/19/2011 for the course IT 2258 taught by Professor Aymenali during the Summer '11 term at Abu Dhabi University.

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