An introduction to text mining

Charu C. Aggarwal, Cheng Xiang Zhai

Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

Abstract

The problem of text mining has gained increasing attention in recent years because of the large amounts of text data, which are created in a variety of social network, web, and other information-centric applications. Unstructured data is the easiest form of data which can be created in any application scenario. As a result, there has been a tremendous need to design methods and algorithms which can effectively process a wide variety of text applications. This book will provide an overview of the different methods and algorithms which are common in the text domain, with a particular focus on mining methods.

Original languageEnglish (US)
Title of host publicationMining Text Data
PublisherSpringer US
Pages1-10
Number of pages10
Volume9781461432234
ISBN (Electronic)9781461432234
ISBN (Print)1461432227, 9781461432227
DOIs
StatePublished - Aug 1 2013

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Aggarwal, C. C., & Zhai, C. X. (2013). An introduction to text mining. In Mining Text Data (Vol. 9781461432234, pp. 1-10). Springer US. https://doi.org/10.1007/978-1-4614-3223-4_1