2026-04-14T02:16:03Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/541112025-12-21T18:00:47Zcom_2072_6col_2072_452952

00925njm 22002777a 4500 dc Altin, Lutfiye Seda Mut author Bravo Serrano, Àlex, 1984- author Saggion, Horacio author 2022-09-20T06:02:14Z 2022-09-20T06:02:14Z 2019 Comunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2019), celebrat el 24 de setembre de 2019, a Bilbao, Espanya This 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. Natural Language Processing Neural Networks Sentiment Analysis Spanish Language LaSTUS/TALN at TASS 2019: sentiment analysis for spanish language variants with neural networks