no code implementations • 30 Jun 2023 • Andrea Laguna, Oscar Araque
This paper presents the following contributions: (i) an ensemble learning system that combines several types of text representations for depression detection, including recent advances in the field; (ii) a contextualization schema through topic and affective information; (iii) an analysis of models' energy consumption, establishing a trade-off between classification performance and overall computational costs.
no code implementations • 14 Sep 2022 • Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
The LibertyMFD dictionary can be a valuable tool for policymakers to understand diverse viewpoints on controversial social issues such as vaccination, abortion, or even uprisings, as they happen and on a large scale.
no code implementations • SALLD (LREC) 2022 • Marco A. Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra T. Cignarella, Valerio Basile, Viviana Patti, Cristina Bosco
The paper is structured as follows.
no code implementations • SEMEVAL 2019 • Diego Benito, Oscar Araque, Carlos A. Iglesias
This paper describes the GSI-UPM system for SemEval-2019 Task 5, which tackles multilingual detection of hate speech on Twitter.
1 code implementation • 17 Apr 2019 • Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
In this study, we present MoralStrength, a lexicon of approximately 1, 000 lemmas, obtained as an extension of the Moral Foundations Dictionary, based on WordNet synsets.
no code implementations • 29 Mar 2019 • Rodrigo Barbado, Oscar Araque, Carlos A. Iglesias
Previous research has addressed fake review detection in a number of domains, such as product or business reviews in restaurants and hotels.
1 code implementation • 8 Oct 2018 • Oscar Araque, Lorenzo Gatti, Jacopo Staiano, Marco Guerini
Several lexica for sentiment analysis have been developed and made available in the NLP community.