Automated text binary classification using machine learning approach

Alberto Holts; Claudio Riquelme; Rodrigo Alfaro

doi:10.1109/SCCC.2010.30

Automated text binary classification using machine learning approach

Alberto Holts, Claudio Riquelme, Rodrigo Alfaro

SCHOOL OF COMPUTER ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 29th International Conference of the Chilean Computer Science Society, SCCC 2010
Publisher	IEEE Computer Society
Pages	212-217
Number of pages	6
ISBN (Print)	9780769544007
DOIs	https://doi.org/10.1109/SCCC.2010.30
State	Published - 2010

Publication series

Name	Proceedings - International Conference of the Chilean Computer Science Society, SCCC
ISSN (Print)	1522-4902

Keywords

Machine learning
Text classification

Access to Document

10.1109/SCCC.2010.30

Cite this

Holts, A., Riquelme, C., & Alfaro, R. (2010). Automated text binary classification using machine learning approach. In Proceedings - 29th International Conference of the Chilean Computer Science Society, SCCC 2010 (pp. 212-217). Article 5750517 (Proceedings - International Conference of the Chilean Computer Science Society, SCCC). IEEE Computer Society. https://doi.org/10.1109/SCCC.2010.30

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title = "Automated text binary classification using machine learning approach",

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 = "Machine learning, Text classification",

author = "Alberto Holts and Claudio Riquelme and Rodrigo Alfaro",

year = "2010",

doi = "10.1109/SCCC.2010.30",

language = "English",

isbn = "9780769544007",

series = "Proceedings - International Conference of the Chilean Computer Science Society, SCCC",

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Holts, A, Riquelme, C & Alfaro, R 2010, Automated text binary classification using machine learning approach. in Proceedings - 29th International Conference of the Chilean Computer Science Society, SCCC 2010., 5750517, Proceedings - International Conference of the Chilean Computer Science Society, SCCC, IEEE Computer Society, pp. 212-217. https://doi.org/10.1109/SCCC.2010.30

Automated text binary classification using machine learning approach. / Holts, Alberto; Riquelme, Claudio; Alfaro, Rodrigo.
Proceedings - 29th International Conference of the Chilean Computer Science Society, SCCC 2010. IEEE Computer Society, 2010. p. 212-217 5750517 (Proceedings - International Conference of the Chilean Computer Science Society, SCCC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Riquelme, Claudio

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PY - 2010

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N2 - 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.

AB - 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.

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KW - Text classification

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M3 - Conference contribution

AN - SCOPUS:79955943296

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BT - Proceedings - 29th International Conference of the Chilean Computer Science Society, SCCC 2010

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Automated text binary classification using machine learning approach

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