Text Analytics

An Introduction to the Science and Applications of Unstructured Information Analysis

John Atkinson-Abutridy

• Editorial: Chapman and Hall/CRC
• Año: 2022
• ISBN:
  9781000581072
• Edición: 1
• Categoría: Ciencia de la computación
• Categoría: Procesamiento del lenguaje natural

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

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• 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

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• Practical programming exercises in Python for each chapter

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• 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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Índice

• Cover
• Half Title
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• List of Figures
• List of Tables
• Preface
• Acknowledgments
• Author
• Chapter 1 Text Analytics
• Chapter 2 Natural-Language Processing
• Chapter 3 Information Extraction
• Chapter 4 Document Representation
• Chapter 5 Association Rules Mining
• Chapter 6 Corpus-Based Semantic Analysis
• Chapter 7 Document Clustering
• Chapter 8 Topic Modeling
• Chapter 9 Document Categorization
• Concluding Remarks
• Bibliography
• Glossary
• Index