CoviText: Search Engine of the Medical Literature about COVID-19
DOI:
https://doi.org/10.59681/2175-4411.v15.iEspecial.2023.1075Keywords:
COVID-19, Machine Learning, Data MiningAbstract
In the first months of 2020, the COVID-19 pandemic has severely affected several countries, including Brazil. Due to the possibility of collapse in health systems and economic losses, there is an increasing number of related researches, generating a large volume of scholarly articles, such as the CORD-19 dataset (87.5 GB, base year: 2022), available at the Kaggle website. Due to the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up, it is necessary to find ways of browsing and consulting what is already known about the Sars-Cov-2 virus and its related disease. In order to facilitate this process, this work presents the CoviText tool: a search engine for the medical literature on COVID-19, developed using text mining and machine learning techniques.
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Copyright (c) 2023 Jedson Gabriel Ferreira de Paula, Rômulo César Silva
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