The democratization of deep learning in TASS 2017

  1. Manuel C. Díaz Galiano
  2. Eugenio Martínez Cámara
  3. M. Ángel García Cumbreras
  4. Manuel García Vega
  5. Julio Villena Román
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2018

Número: 60

Páginas: 37-44

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

TASS 2017 has brought advances in the state-of-the-art in Sentiment Analysis in Spanish, because most of the systems submitted in 2017 were grounded on Deep Learning methods. Moreover, a new corpus of tweets written in Spanish was released, which is called InterTASS. The corpus is composed of tweets manually annotated at document level. The analysis of the results with InterTASS shows that the main challenge is the classification of tweets with a neutral opinion and those ones that do not express any opinion. Likewise, the organization exposed the project of extending InterTASS with tweets written in different versions of Spanish.

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Información de financiación

This research work is partially supported by REDES project (TIN2015-65136-C2-1-R) and SMART project (TIN2017-89517-P) from the Spanish Government, and a grant from the Fondo Europeo de Desarrollo Regional (FEDER). Eugenio Martínez Cámara was supported by the Juan de la Cierva For-mación Programme (FJCI-2016-28353) from the Spanish Government.

Financiadores

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Fuente de los datos: Dialnet