Text mining with MATLAB / Rafael E. Banchs.
Material type:
- 9781461441502 (alk. paper)
- 006.312 23 B213
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 |
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006.312 Ak314 Big data computing / | 006.312 Ak314 Intelligent techniques for data science / | 006.312 An549 Visual data mining : | 006.312 B213 Text mining with MATLAB / | 006.312 B534 Text mining | 006.312 B575 Data mining and data warehousing : | 006.312 B782 Graphical models: representations for learning, reasoning and data mining/ |
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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