Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis

Author
John Atkinson-Abutridy
Publisher
Chapman and Hall/CRC
Language
English
Page
230
ISBN
9781032249797,9781032245263,9781003280996,103224979X
File Type
epub
File Size
14.2 MiB

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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