EAN: 9781461441502

Bilder-Quelle: shopping24.de – Sport

Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It's designed to help text mining practitioners as well as those with little-to-no experience with text mining in general familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally it presents some specific applications such as document clustering classification search and terminology extraction.All descriptions presented are supported with practical examples that are fully reproducible. Further reading as well as additional exercises and projects are proposed at the end of each chapter for those readers interested in conducting further experimentation. The first part provides an introduction to basic procedures for handling and operating with text strings. Then it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally it presents some specific applications such as document clustering classification search and terminology extraction. The first part provides an introduction to basic procedures for handling and operating with text strings. Then it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally it presents some specific applications such as document clustering classification search and terminology extraction.All descriptions presented are supported with practical examples that are fully reproducible. Further reading as well as additional exercises and projects are proposed at the end of each chapter for those readers interested in conducting further experimentation. The first part provides an introduction to basic procedures for handling and operating with text strings. Then it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally it presents some specific applications such as document clustering classification search and terminology extraction. All descriptions presented are supported with practical examples that are fully reproducible. Further reading as well as additional exercises and projects are proposed at the end of each chapter for those readers interested in conducting further experimentation. All descriptions presented are supported with practical examples that are fully reproducible. Further reading as well as additional exercises and projects are proposed at the end of each chapter for those readers interested in conducting further experimentation.

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30.03.2025 um 17:43 Uhr

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