Replication Files for the Article "When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by Brazilian Political Elites", by Lorena Barberia, Pedro Schmal and Norton Roman
We made available the following replication files:
BERT+KFOLD(2020).ipynb: The code and results of the model trained only on 2020 tweets.
BERT+KFOLD(2021).ipynb: The code and results of the model trained only on 2021 tweets.
BERT+KFOLD(2020-21).ipynb: The code and results of the model trained on the tweets of both years.
Codebook: Additionally, we provide the codebook with informations on the dataset building process, classification rules and some additional content.
Slides: Presentation Slides, STIL 2023.
Note: The models were trained using Google Colaboratory GPU.
The corpus used on the training can be found on the following site
BARBERIA, Lorena Guadalupe; SCHMALZ, Pedro Henrique de Santana; ROMAN, Norton Trevisan. When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by Brazilian Political Elites. In: SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO E DA LINGUAGEM HUMANA (STIL), 14. , 2023, Belo Horizonte/MG. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 104-114. DOI: https://doi.org/10.5753/stil.2023.233961.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.