Hacia el análisis de sentimientos en euskera

  1. Jon Alkorta Agirrezabala
Journal:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Year of publication: 2021

Issue: 66

Pages: 201-204

Type: Article

More publications in: Procesamiento del lenguaje natural

Abstract

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.

Bibliographic References

  • Alkorta, J., K. Gojenola, y M. Iruskieta. 2016a. Creating and evaluating a polarity-balanced corpus for basque sentiment analysis. En IWoDA16 Fourth International Workshop on Discourse Analysis. Santiago de Compostela, September, volumen 29.
  • 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).
  • Alkorta, J., K. Gojenola, y M. Iruskieta. 2019. Towards discourse annotation and sentiment analysis of the basque opinion corpus. En Proceedings of the Workshop on Discourse Relation Parsing and Tree-banking 2019, páginas 144-152.
  • Alkorta, J., K. Gojenola, M. Iruskieta, y A. Prez. 2015. Using relational discourse structure information in basque sentiment analysis. En SEPLN 5th Workshop RST and Discourse Studies.
  • Alkorta, J., K. Gojenola, M. Iruskieta, y M. Taboada. 2017. Using lexical level information in discourse structures for basque sentiment analysis. En Proceedings of the 6th Workshop on Recent Advances in RST and Related Formalisms, páginas 39-47.
  • Ezeiza, N., I. Alegria, J. M. Arriola, R. Urizar, y I. Aduriz. 1998. Combining stochastic and rule-based methods for disambiguation in agglutinative languages. En COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics.
  • Karlsson, F., A. Voutilainen, J. Heikkilae, y A. Anttila. 2011. Constraint Grammar: a language-independent system for parsing unrestricted text, volumen 4. Walter de Gruyter.
  • Mann, W. C. y S. A. Thompson. 1987. Rhetorical structure theory: Description and construction of text structures. En Natural language generation. Springer, páginas 85-95.
  • Sarasola, I. 2005. Zehazki: gaztelaniaeuskara hiztegia. Alberdania.
  • Taboada, M. 2008. Sfu review corpus [corpus]. vancouver: Simon fraser university.
  • Taboada, M., J. Brooke, M. Tofiloski, K. Voll, y M. Stede. 2011. Lexicon-based methods for sentiment analysis. Computational linguistics, 37(2):267-307.
  • Zerbitzuak, E. H. 2013. Elhuyar hiztegia: euskara-gaztelania, castellano-vasco. Elhuyar.