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) |
|---|---|
| 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
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