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Ontology-driven aspect-based sentiment analysis classification: An infodemiological case study regarding infectious diseases in Latin America

José Antonio García-Díaz, Mar Cánovas-García, Rafael Valencia-García
2020 Future generations computer systems  
We intend to fill these gaps proposing an ontology-driven aspect-based sentiment analysis with which to measure the general public's opinions as regards infectious diseases when expressed in Spanish by  ...  employing a case study of tweets concerning the Zika, Dengue and Chikungunya viruses in Latin America.  ...  In addition, José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the Doctorado industrial programme.  ... 
doi:10.1016/j.future.2020.06.019 pmid:32572291 pmcid:PMC7301140 fatcat:xxt6mfojevf3zhpu4fchr3lzuq

Ontology-Based Nutritional Recommender System

Dexon Mckensy-Sambola, Miguel Ángel Rodríguez-García, Francisco García-Sánchez, Rafael Valencia-García
2021 Applied Sciences  
A panel of advisors evaluated each individual record and suggested the most appropriate diets from those included in the ontology.  ...  Obesity is considered an epidemic that is continuously growing around the world.  ...  Ontology-driven aspect-based sentiment analysis classification: An infodemiological case study regarding infectious diseases in Latin America. Future Gener. Comput.  ... 
doi:10.3390/app12010143 fatcat:sehb3hdup5ahdcoghqgcrzjlyq

Computational Socioeconomics [article]

Jian Gao, Yi-Cheng Zhang, Tao Zhou
2019 arXiv   pre-print
This review, together with pioneering works we have highlighted, will draw increasing interdisciplinary attentions and induce a methodological shift in future socioeconomic studies.  ...  , data-driven methods, theoretical models and novel applications at multiple resolutions, including the quantification of global economic inequality and complexity, the map of regional industrial structure  ...  For the Latin America and the Caribbean region, Sorichetta et al.  ... 
arXiv:1905.06166v1 fatcat:kvhy2hpzgvg2vnqhdjfyjfidqi