DocumentCode
2956461
Title
Automated Text Binary Classification Using Machine Learning Approach
Author
Holts, Alberto ; Riquelme, Claudio ; Alfaro, Rodrigo
Author_Institution
Escuela de Ing. Inf., Pontificia Univ. Catolica de Valparaiso, Valparaíso, Chile
fYear
2010
fDate
15-19 Nov. 2010
Firstpage
212
Lastpage
217
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.
Keywords
Internet; learning (artificial intelligence); pattern classification; text analysis; automated text binary classification; digital document; machine learning; Artificial neural networks; Electronic mail; Machine learning; Niobium; Support vector machines; Testing; Training; Machine learning; Text classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Chilean Computer Science Society (SCCC), 2010 XXIX International Conference of the
Conference_Location
Antofagasta
ISSN
1522-4902
Print_ISBN
978-1-4577-0073-6
Electronic_ISBN
1522-4902
Type
conf
DOI
10.1109/SCCC.2010.30
Filename
5750517
Link To Document