Bookbot

Text Mining with MATLAB®

Ocena książki

Więcej o książce

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.

Zakup książki

Text Mining with MATLAB®, Rafael E. Banchs

Język
Rok wydania
2012
Oprawa
(twarda)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

4,3
Bardzo dobra
4 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Text Mining with MATLAB®
Język
angielski
Rok wydania
2012
Oprawa
twarda
ISBN10
1461441501
ISBN13
9781461441502
Seria
Tagi
Ocena
4,25 z 5
Opis
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.