Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis (Hardcover)
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.
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
About the Author
John Atkinson-Abutridy has been a university professor and researcher over the last 25 years. He received a PhD in Artificial Intelligence (AI) from the University of Edinburgh (UK), and has led scientific and technological projects both at national and international levels on several AI topics including Natural-Language Processing, Machine Learning, Evolutionary Computation, and Text Mining, and has published almost 100 peer review scientific articles in journals and conferences. Furthermore, he has been AI consultant and transferred some intelligent system technologies into the industry. Dr. Atkinson-Abutridy has been a visiting researcher/professor in several universities and research centers worldwide such as the University of Cambridge (UK), MIT (USA), IBM T.J. Watson Labs (USA), and INRIA (France). He is also a professional member of the AAAI and a senior member of the ACM.