2026-04-13T01:25:39Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/541112025-12-21T18:00:47Zcom_2072_6col_2072_452952
RECERCAT
author
Altin, Lutfiye Seda Mut
author
Bravo Serrano, Àlex, 1984-
author
Saggion, Horacio
2022-09-20T06:02:14Z2022-09-20T06:02:14Z2019
Comunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2019), celebrat el 24 de setembre de 2019, a Bilbao, EspanyaThis paper describes the participation of LaSTUS/TALN
team in the shared task Sentiment Analysis at SEPLN (TASS) organized in the context of IberLEF 2019. TASS focuses on the classification
of tweets written in the Spanish language (from Spain, Peru, Costa Rica,
Uruguay and Mexico) with respect to their polarity or sentiment. This
year TASS proposes two sub-tasks: monolingual and cross-lingual sentiment analysis. This paper presents a deep learning approach based on
bidirectional LSTM (biLSTM) models to face both sub-tasks. The paper
reports and discusses the official results achieved by our team.
© 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). IberLEF 2019, 24 September 2019, Bilbao, Spain. https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess
Natural Language Processing
Neural Networks
Sentiment Analysis
Spanish Language
LaSTUS/TALN at TASS 2019: sentiment analysis for spanish language variants with neural networks
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion