Semantic and Morpho-Syntactic Prevention Guidelines for COVID-19 Based on Cognitively Inspired Artificial Intelligence and Data Mining. Case Study: Europe, North America, and South America

Based on a combination of cognitively inspired methods in artificial intelligence such as artificial mathematical intelligence and data mining, we study the correlation between the COVID-19 pandemic and the sentiment analysis (qualitative ontological nature) of tweets and their linguistic patterns f...

Full description

Autores:
Herrera Jaramillo, Yoe Alexander
Gómez Ramírez, Danny Arlen de Jesús
Tipo de recurso:
Part of book
Fecha de publicación:
2021
Institución:
Tecnológico de Antioquia
Repositorio:
Repositorio Tdea
Idioma:
eng
OAI Identifier:
oai:dspace.tdea.edu.co:tdea/3957
Acceso en línea:
https://dspace.tdea.edu.co/handle/tdea/3957
Palabra clave:
Inteligencia Artificial
Artificial Intelligence
Inteligência Artificial
Intelligence artificielle
COVID-19
Minería de datos
Data mining
Mineração de dados
Fouille de données
Prevención
Prevention
Prevenção
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb