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 language | English (US) |
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Title of host publication | Mining Text Data |
Publisher | Springer |
Pages | 1-10 |
Number of pages | 10 |
Volume | 9781461432234 |
ISBN (Electronic) | 9781461432234 |
ISBN (Print) | 1461432227, 9781461432227 |
DOIs | |
State | Published - Aug 1 2013 |
ASJC Scopus subject areas
- General Computer Science