Mineração de dados em tweets para análise do consumo de lácteos no Brasil

Autor: Thallys da Silva Nogueira, Anna Letícia Franco Monteiro, Darlan Henrique da Costa Silva, Kennya Beatriz Siqueira, Priscila Vanessa Zabala Capriles Goliatt

Publikováno v: The Journal of Engineering and Exact Sciences; Vol. 8 No. 10 (2022); 14863-01a
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 10 (2022); 14863-01a
The Journal of Engineering and Exact Sciences; v. 8 n. 10 (2022); 14863-01a
The Journal of Engineering and Exact Sciences
Universidade Federal de Viçosa (UFV)
instacron:UFV

Brazilians' daily routine was affected by the COVID-19 epidemic in a number of ways, with food being one of them. This study used data from the social network Twitter and the tool Observatório do Consumidor to examine the consumption of dairy produc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90be64ae531f4b5e24fdebf1a0fe0a5d
https://doi.org/10.18540/jcecvl8iss10pp14863-01a