Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
|
 |
Mining Text Data: Special Features and Patterns
| |
|
Mining Text Data: Special Features and Patterns
M. Delgado2, M. J. Martín-Bautista2, D. Sánchez2 and M. A. Vila2
| (2) |
Department of Computer Science and Artificial Intelligence, University of Granada, Spain |
Abstract
Text mining is an increasingly important research field because of the necessity of obtaining knowledge from the enormous
number of text documents available, especially on the Web. Text mining and data mining, both included in the field of information
mining, are similar in some sense, and thus it may seem that data mining techniques may be adapted in a straightforward way
to mine text. However, data mining deals with structured data, whereas text presents special characteristics and is basically
unstructured. In this context, the aims of this paper are three:
| – |
To study particular features of text.
|
| – |
To identify the patterns we may look for in text.
|
| – |
To discuss the tools we may use for that purpose.
|
In relation with the third point we overview existing proposals, as well as some new tools we are developing by adapting data
mining tools previously developed by our research group.
Fulltext Preview (Small, Large)
 References secured to subscribers.
|
|
|
|
|
|