Hacia el análisis de sentimientos en euskera

  1. Jon Alkorta Agirrezabala
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Ano de publicación: 2021

Número: 66

Páxinas: 201-204

Tipo: Artigo

Outras publicacións en: Procesamiento del lenguaje natural

Resumo

This is a summary of the thesis written by Jon Alkorta under the supervision of Dr. Koldo Gojenola (Department of Computer Languages and Systems) and Dr. Mikel Iruskieta (Department of Didactis of Language and Literature) and presented at the University of the Basque Country (UPV / EHU). The full title of the thesis is Towards the automatic analysis of sentiments in Basque: the creation of basic resources and the identification of valence shifters in different language levels and the defense of the thesis was held on the 4th December 2019 in the Computer Science Faculty in Donostia-San Sebastián, and the members of the commission were Juliano Desiderato Antonio (State University of Maringa), Iria da Cunha (Ramón y Cajal researcher at the National Distance Education University (UNED)) and Arantza Diaz de Ilarraza (University of the Basque Country (UPV/EHU)). The thesis was awarded an excellent grade and Cum Laude honours and the international mention.

Referencias bibliográficas

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  • Alkorta, J., K. Gojenola, y M. Iruskieta. 2016b. Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtsoegiturarako proposamena. Gogoa 14.
  • Alkorta, J., K. Gojenola, y M. Iruskieta. 2018a. Saying no but meaning yes: negation and sentiment analysis in basque. En Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, páginas 85-90.
  • Alkorta, J., K. Gojenola, y M. Iruskieta. 2018b. Sentitegi: Semi-manually created semantic oriented basque lexicon for sentiment analysis. Computación y Sistemas, 22(4).
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