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