Brazilian scientific productivity from a gender perspective during the Covid-19 pandemic: classification and analysis via machine learning
Produtividade científica na perspectiva de gênero durante a pandemia do Covid-19: classificação e análise via aprendizado de máquina
What things you need to have to be able to run:
- Python 3.6 +
- Pip 3+
- VirtualEnvWrapper is recommended but not mandatory
$ pip install requirements.txt- For training
Brasil.io click here
- For classification
Lattes Platform scraped data click here
| index | primeiro_nome | nome_completo | formacao | titulo | ano |
|---|
Output file format .csv
| primeiro_nome | nome_completo | gender |
|---|
- Some wrong name classification:
clik here
R. C. B. Rego, G. d. S. Nascimento, D. E. d. L. Rodrigues, S. M. Nascimento and V. M. L. Silva, "Brazilian scientific productivity from a gender perspective during the Covid-19 pandemic: classification and analysis via machine learning," in IEEE Latin America Transactions, vol. 21, no. 2, pp. 302-309, Feb. 2023, doi: 10.1109/TLA.2023.10015223.
@ARTICLE{10015223,
author={Rego, Rosana Cibely B. and Nascimento, Gabriel da Silva and Rodrigues, Davi Emmanuel de Lima and Nascimento, Samara Martins and Silva, Verônica Maria L.},
journal={IEEE Latin America Transactions},
title={Brazilian scientific productivity from a gender perspective during the Covid-19 pandemic: classification and analysis via machine learning},
year={2023},
volume={21},
number={2},
pages={302-309},
doi={10.1109/TLA.2023.10015223}}