Automatic Classification of Tweets Identifying Mental Health Conditions in Central American Population in a Pandemic-Reference-Cited by-同舟云学术

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Automatic Classification of Tweets Identifying Mental Health Conditions in Central American Population in a Pandemic

Published:2023 Issue: Volume: Page:123-137
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Cedeno-Moreno Denis^ORCID,Vargas-Lombardo Miguel^ORCID,Navarro Nila^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-45682-4_10

Reference41 articles.

1. Velavan, T., Meyer, C.S.: The COVID-19 epidemic. Tropical Med. Int. Health 25, 278–280 (2020)

2. SreeJagadeesh, M., Alphonse, P.J.: COVID-19 outbreak: an ensemble pre-trained deep learning model for detecting informative tweets. Appl. Soft Comput. J. 107, 1–7 (2021)

3. Cedeno-Moreno, D., Vargas-Lombardo, M., Navarro, N.: Recommendation system for emotional self-control of older adults post-COVID-19 in Panama. Revista Iberica de Sistemas e Tecnologias de Informacaon 54, 203–217 (2022)

4. Heitzman, J.: Impact of COVID-19 pandemic on mental health. Psychiatr. Pol. 54, 187–198 (2020)

5. Dang, C.N., Moreno-García, M., De la Prieta, F.: Hybrid deep learning models for sentiment analysis. Hindawi 2021, 1–16 (2021)

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