González-Barba, JÁ.; Hurtado Oliver, LF.; Pla Santamaría, F. (2020). Self-attention for Twitter sentiment analysis in Spanish. Journal of Intelligent & Fuzzy Systems. 39(2):2165-2175. https://doi.org/10.3233/JIFS-179881
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/171323
Title:
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Self-attention for Twitter sentiment analysis in Spanish
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Author:
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González-Barba, José Ángel
Hurtado Oliver, Lluis Felip
Pla Santamaría, Ferran
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Issued date:
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Abstract:
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[EN] This paper describes our proposal for Sentiment Analysis in Twitter for the Spanish language. The main characteristics of the system are the use of word embedding specifically trained from tweets in Spanish and the ...[+]
[EN] This paper describes our proposal for Sentiment Analysis in Twitter for the Spanish language. The main characteristics of the system are the use of word embedding specifically trained from tweets in Spanish and the use of self-attention mechanisms that allow to consider sequences without using convolutional nor recurrent layers. These self-attention mechanisms are based on the encoders of the Transformer model. The results obtained on the Task 1 of the TASS 2019 workshop, for all the Spanish variants proposed, support the correctness and adequacy of our proposal.
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Subjects:
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Twitter
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Sentiment analysis
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Transformer encoders
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Journal of Intelligent & Fuzzy Systems. (issn:
1064-1246
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DOI:
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10.3233/JIFS-179881
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Publisher:
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IOS Press
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Publisher version:
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https://doi.org/10.3233/JIFS-179881
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Project ID:
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info:eu-repo/grantAgreement/UPV//PAID-01-17/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85854-C4-2-R/ES/AMIC-UPV: ANALISIS AFECTIVO DE INFORMACION MULTIMEDIA CON COMUNICACION INCLUSIVA Y NATURAL/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2018%2F176/ES/GISPRO-GENOMIC INFORMATION SYSTEMS PRODUCTION/
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Thanks:
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This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R) and the GiSPRO project (PROMETEU/2018/176). Work of Jose-Angel Gonzalez is financed by Universitat ...[+]
This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R) and the GiSPRO project (PROMETEU/2018/176). Work of Jose-Angel Gonzalez is financed by Universitat Politecnica de Valencia under grant PAID-01-17.
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Type:
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Artículo
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