Automated text binary classification using machine learning approach

Alberto Holts, Claudio Riquelme, Rodrigo Alfaro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 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 languageEnglish
Title of host publicationProceedings - 29th International Conference of the Chilean Computer Science Society, SCCC 2010
PublisherIEEE Computer Society
Pages212-217
Number of pages6
ISBN (Print)9780769544007
DOIs
StatePublished - 2010
Externally publishedYes

Publication series

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

Keywords

  • Machine learning
  • Text classification

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