Text mining with MATLAB® / by Rafael E. Banchs.
Banchs, Rafael E., author.
2021
QA76.9.D343
Available Online

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Details

Title
Text mining with MATLAB® / by Rafael E. Banchs.
Author
Banchs, Rafael E., author.
Edition
Second edition.
ISBN
9783030876951 (electronic bk.)
3030876950 (electronic bk.)
9783030876944 (print)
DOI
https://doi.org/10.1007/978-3-030-87695-1
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xii, 475 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-87695-1 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It is 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 book is structured in three main parts: The first part, Fundamentals, introduces basic procedures and methods for manipulating and operating with text within the MATLAB programming environment. The second part of the book, Mathematical Models, is devoted to motivating, introducing, and explaining the two main paradigms of mathematical models most commonly used for representing text data: the statistical and the geometrical approach. Eventually, the third part of the book, Techniques and Applications, addresses general problems in text mining and natural language processing applications such as document categorization, document search, content analysis, summarization, question answering, and conversational systems. This second edition includes updates in line with the recently released "Text Analytics Toolbox" within the MATLAB product and introduces three new chapters and six new sections in existing ones. 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
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 2, 2021).
Available in Other Form
Print version: 9783030876944
Print version: 9783030876968
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
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1. Introduction
PART I: FUNDAMENTALS
2. Handling Text Data
3. Regular Expressions
4. Basic Operations with Strings
5. Reading and Writing Files
6. The Structure of Language
PART II: MATHEMATICAL MODELS
7. Basic Corpus Statistics
8. Statistical Models
9. Geometrical Models
10. Dimensionality Reduction
PART III: METHODS AND APPLICATIONS
11. Document Categorization
12. Document Search
13. Content Analysis
14. Keyword Extraction and Summarization
15. Question Answering and Dialogue.

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