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


chapter Chapter 1|14 pages

Text Analytics

chapter Chapter 2|34 pages

Natural-Language Processing

chapter Chapter 3|26 pages

Information Extraction

chapter Chapter 4|16 pages

Document Representation

chapter Chapter 5|14 pages

Association Rules Mining

chapter Chapter 6|31 pages

Corpus-Based Semantic Analysis

chapter Chapter 7|28 pages

Document Clustering

chapter Chapter 8|20 pages

Topic Modeling

chapter Chapter 9|29 pages

Document Categorization

chapter |5 pages

Concluding Remarks