Text Analytics
eBook - ePub

Text Analytics

An Introduction to the Science and Applications of Unstructured Information Analysis

John Atkinson-Abutridy

  1. 230 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Text Analytics

An Introduction to the Science and Applications of Unstructured Information Analysis

John Atkinson-Abutridy

Book details
Table of contents
Citations

About This Book

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery from unstructured information sources, for both industrial and academic purposes. The book introduces the main concepts, models, and computational techniques that enable the reader to solve real decision-making problems arising from textual and/or documentary sources.

Features:

  • Easy-to-follow step-by-step concepts and methods



  • Every chapter is introduced in a very gentle and intuitive way so students can understand the WHYs, WHAT-IFs, WHAT-IS-THIS-FORs, HOWs, etc. by themselves



  • Practical programming exercises in Python for each chapter



  • Includes theory and practice for every chapter, summaries, practical coding exercises for target problems, QA, and sample code and data available for download at https://www.routledge.com/Atkinson-Abutridy/p/book/9781032249797



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Information

Publisher
Chapman and Hall/CRC
Year
2022
ISBN
9781000581072
Edition
1
Topic
Computer Science
Subtopic
Natural Language Processing
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Acknowledgments
  11. Author
  12. Chapter 1 Text Analytics
  13. Chapter 2 Natural-Language Processing
  14. Chapter 3 Information Extraction
  15. Chapter 4 Document Representation
  16. Chapter 5 Association Rules Mining
  17. Chapter 6 Corpus-Based Semantic Analysis
  18. Chapter 7 Document Clustering
  19. Chapter 8 Topic Modeling
  20. Chapter 9 Document Categorization
  21. Concluding Remarks
  22. Bibliography
  23. Glossary
  24. Index
Citation styles for Text Analytics

APA 6 Citation

Atkinson-Abutridy, J. (2022). Text Analytics (1st ed.). Chapman and Hall/CRC. Retrieved from https://www.perlego.com/book/3277518 (Original work published 2022)

Chicago Citation

Atkinson-Abutridy, John. (2022) 2022. Text Analytics. 1st ed. Chapman and Hall/CRC. https://www.perlego.com/book/3277518.

Harvard Citation

Atkinson-Abutridy, J. (2022) Text Analytics. 1st edn. Chapman and Hall/CRC. Available at: https://www.perlego.com/book/3277518 (Accessed: 1 July 2024).

MLA 7 Citation

Atkinson-Abutridy, John. Text Analytics. 1st ed. Chapman and Hall/CRC, 2022. Web. 1 July 2024.