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Text mining with MATLAB / Rafael E. Banchs.

By: Material type: TextTextPublication details: New York : Springer, c2013.Description: xi, 355 p. : ill. ; 24 cmISBN:
  • 9781461441502 (alk. paper)
Subject(s): DDC classification:
  • 006.312 23 B213
Contents:
1. Introduction -- Part I. FUNDAMENTALS -- 2. Handling Textual Data -- 3. Regular Expressions -- 4. Basic Operations with Strings -- 5.Reading and Writing Files -- Part II. MATHEMATICAL MODELS -- 6. Basic Corpus Statistics -- 7. Statistical Models -- 8. Geometrical Models -- 9. Dimensionality Reduction -- Part III. METHODS AND APPLICATIONS -- 10. Document Categorization -- 11. Document Search -- 12. Content Analysis-- Index.
Summary: "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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.312 B213 (Browse shelf(Opens below)) Available 135671
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
Part I. FUNDAMENTALS --
2. Handling Textual Data --
3. Regular Expressions --
4. Basic Operations with Strings --
5.Reading and Writing Files --

Part II. MATHEMATICAL MODELS --
6. Basic Corpus Statistics --
7. Statistical Models --
8. Geometrical Models --
9. Dimensionality Reduction --

Part III. METHODS AND APPLICATIONS --
10. Document Categorization --
11. Document Search --
12. Content Analysis--
Index.

"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.

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