BOOK ANNOUNCEMENT: Mining Text Data

This is a detailed survey book on text mining, which discusses the classical key topics, including clustering, classification, and dimensionality reduction; and emerging topics such as social networks, multimedia and transfer learning. The table of contents and sample survey chapters available online.

---

Mining Text Data
Eds. Charu Aggarwal and ChengXiang Zhai
Springer, February 2012
Approximately 500 pages

This is a detailed survey book on text mining, which discusses the key topics in the area. This includes conventional topics such as clustering, classification, and dimensionality reduction; emerging topics such as social networks, multimedia and transfer learning; as well as applications such as opinion mining and biomedical data.

Each chapter is a detailed survey which is written by a well known researcher from the field. The content of the book is carefully designed to extensively and comprehensively cover the area of text mining.

The table of contents and sample survey chapters on clustering and classification may be found at:

www.charuaggarwal.net/text-content.pdf