- 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 a companion website with the sample code and data.
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.
Title: Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis
Author: Atkinson-Abutridy, John
ISBN: 9781032245263
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-04-29
Number of Pages: 230
Weight: 0.4301 kg
