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
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;
Conference_Titel :
Chilean Computer Science Society (SCCC), 2010 XXIX International Conference of the
Conference_Location :
Antofagasta
Print_ISBN :
978-1-4577-0073-6
Electronic_ISBN :
1522-4902
DOI :
10.1109/SCCC.2010.30