Current research assistants
Research assistant (ERC StG project MapModern – “Social Networks of the Past”, IN3-UOC)
Marvin Matías Agüero Torales has been a part-time PhD student of Information and Communications Technology at DECSAI (Department of Computer Science and Artificial Intelligence) at the University of Granada (UGR) since 2017.
He is currently working as a research assistant for the ERC StG project “Social Networks of the Past. Mapping Hispanic and Lusophone Literary Modernity, 1898-1959” (Grant agreement 803860) at Universitat Oberta de Catalunya (UOC). As an engineering technician, he focuses on NLP engineering and data processing.
He holds degrees in computer engineering and computer science, both from Universidad Autonóma de Asunción (UAA) and a master’s in computer engineering from the UGR.
He is a former member of the Biomedical Text Mining Unit (TeMU) of the Barcelona Supercomputing Center (BSC) and the Laboratorio de Bases de Datos (LBD) at the Universidade da Coruña and was a visiting scholar at the Graphical Methods, Optimization, and Learning (GOAL) group at the University of Cadiz.
His research interests focus on text mining, natural language processing (NLP), machine learning, and computer science, mainly for the efficient exploitation of information contained in unstructured data, specifically for processing documents written in Spanish and low-resource languages.
Agüero-Torales, Marvin Matías, Mario Rubén Canto, and José Luis Vázquez Noguera. “Sistemas de Bases de Datos Federadas para la Gestión de la Información”. Preprints, (2016). https://doi.org/10.13140/RG.2.2.29045.88802
Agüero-Torales, Marvin Matías, Manuel J. Cobo, Enrique Herrera-Viedma, and Antonio G. López-Herrera. “A Cloud-Based Tool for Sentiment Analysis in Reviews about Restaurants on TripAdvisor”.Procedia Computer Science, no. 162, 2019, pp. 392-399.
Agüero-Torales, Marvin Matías, David Vilares, and Antonio G. López-Herrera. “Discovering Topics in Twitter about the COVID-19 Outbreak in Spain”. Procesamiento del Lenguaje Natural, 2021. Forthcoming.