Categorización de texto sensible al coste para el filtrado de contenidos inapropiados en Internet

1. Puertas Sanz, Enrique
2. Carrero García, Francisco
3. Buenaga Rodríguez, Manuel de
4. Gómez Hidalgo, José María

Export

Export ×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Export ×

This document cannot be exported because it belongs to another portal.

Full text

lock_openRUA handle

DIALNET GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/10045/1484

More publications in: Procesamiento del lenguaje natural

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

• 

Abstract

The access to inapropiate Internet content is an increasing problem that can be approached as a cost-sensitive Automated Text Categorization task. In this paper, we report a series of experiments that compare a representative range of learning algorithms and methods for making them cost-sensitive, on two Web pages collections in Spanish and English. The results of our experiments are promising.

Data source: Dialnet