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
En el presente artículo se describe la participación del grupo de investigación SINAI de la Universi...
International audienceWhile most text classification studies focus on monolingual documents, in this...
Across the globe, people are voicing their opinion in social media and various other online fora. Gi...
TASS 2017 has brought advances in the state-of-the-art in Sentiment Analysis in Spanish, because mos...
In this paper we present several experiments for the task entitled sentiment analysis at global leve...
This paper proposes an approach to solve message- and phrase-level polarity classi-fication in Twitt...
Resumen: En este artículo se presentan los resultados obtenidos en la tarea 1: clasificación global ...
Resumen: Este art́ıculo describe la participación del grupo LyS en el tass 2015. En la edición de ...
[EN] This paper describes the participation of the ELiRF research group of the Universitat Politècni...
This article describes the system developed by the Grupode Tecnología del Habla at Universidad Polit...
[Abstract]: This paper describes the participation of the LyS group at tass 2015. In this year’s ed...
Comunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2019), celebrat el 24 de setem...
We present different methods for Sentiment analysis in Spanish tweets: SVM based on word embeddings ...
Sentiment analysis of texts posted on Twitter is a natural language processing task whose importance...
Sentiment analysis is an important area that allows knowing public opinion of the users about severa...
En el presente artículo se describe la participación del grupo de investigación SINAI de la Universi...
International audienceWhile most text classification studies focus on monolingual documents, in this...
Across the globe, people are voicing their opinion in social media and various other online fora. Gi...
TASS 2017 has brought advances in the state-of-the-art in Sentiment Analysis in Spanish, because mos...
In this paper we present several experiments for the task entitled sentiment analysis at global leve...
This paper proposes an approach to solve message- and phrase-level polarity classi-fication in Twitt...
Resumen: En este artículo se presentan los resultados obtenidos en la tarea 1: clasificación global ...
Resumen: Este art́ıculo describe la participación del grupo LyS en el tass 2015. En la edición de ...
[EN] This paper describes the participation of the ELiRF research group of the Universitat Politècni...
This article describes the system developed by the Grupode Tecnología del Habla at Universidad Polit...
[Abstract]: This paper describes the participation of the LyS group at tass 2015. In this year’s ed...
Comunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2019), celebrat el 24 de setem...
We present different methods for Sentiment analysis in Spanish tweets: SVM based on word embeddings ...
Sentiment analysis of texts posted on Twitter is a natural language processing task whose importance...
Sentiment analysis is an important area that allows knowing public opinion of the users about severa...
En el presente artículo se describe la participación del grupo de investigación SINAI de la Universi...
International audienceWhile most text classification studies focus on monolingual documents, in this...
Across the globe, people are voicing their opinion in social media and various other online fora. Gi...