Name
Abstract | ||
|---|---|---|
The increased number of documents in digital format available on the Web and its useful information for different purposes entail an essential need to organize them. However, this task must be automated in order to save costs and manpower. In the community research, the main approach to face this problem is based on the application of machine learning techniques. This article studies the main machine learning approaches to reach an automated text classification. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/SCCC.2010.30 | Chilean Computer Science Society |
Keywords | Field | DocType |
Internet,learning (artificial intelligence),pattern classification,text analysis,automated text binary classification,digital document,machine learning,Machine learning,Text classification | Data mining,Text mining,Active learning (machine learning),Binary classification,Computer science,Support vector machine,Digital document,Artificial intelligence,Artificial neural network,Machine learning,The Internet | Conference |
ISSN | ISBN | Citations |
1522-4902 E-ISBN : 978-0-7695-4400-7 | 978-0-7695-4400-7 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Holts | 1 | 0 | 0.34 |
| Claudio Riquelme | 2 | 0 | 0.34 |
| Rodrigo Alfaro | 3 | 0 | 0.34 |