Automatic classification of new articles in Spanish

Ceccatto, Hermenegildo Alejandro et al · SEDICI UNLP · 2004

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Ceccatto, Hermenegildo Alejandro et al

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SEDICI UNLP

Year

2004

Language

English

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We apply machine learning techniques to the automatic classification of news articles from the local newspaper La Capital of Rosario, Argentina. The corpus (LCC) is an archive of approximately 75,000 manually categorized articles in Spanish published in 1991. We benchmark on LCC three widely used supervised learning methods: k-Nearest Neighbors, Na¨ ve Bayes and Arti ficial Neural Networks, illustrating the corpus properties. Eje: V - Workshop de agentes y sistemas inteligentes Red de Universidades con Carreras en Informática

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APA 7

Ceccatto, H. A. E. A. (2004). Automatic classification of new articles in Spanish. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22551

MLA

Ceccatto, Hermenegildo Alejandro et al. Automatic classification of new articles in Spanish. SEDICI UNLP, 2004. http://sedici.unlp.edu.ar/handle/10915/22551.

Chicago

Ceccatto, Hermenegildo Alejandro et al. 2004. Automatic classification of new articles in Spanish. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/22551.

Harvard

Ceccatto, H. A. E. A. 2004, Automatic classification of new articles in Spanish, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/22551 [Accessed 5 Aug. 2026].

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Title: Automatic classification of new articles in Spanish

Author / contributors: Ceccatto, Hermenegildo Alejandro et al

Publisher: SEDICI UNLP

Publication year: 2004

Language: English

Subjects

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Ciencias Informáticas; Neural nets; ARTIFICIAL INTELLIGENCE; Intelligent agents; Spanish Text Classification; Neural Networks; Multinomial Na¨ve Bayes; k-Nearest Neighbours