SciELO-Summarizer

Computational Social Sciences
Deep Learning

SciELO-Summarizer consists of a summarizer for scientific articles in Portuguese. It scrapes the content of the article from the SciELO website and generates a personalized summary for the user using Large Language Models (LLMs), especifically Llama3.

Authors

Felipe Lamarca

Claudia Fernandes

Daniel Zacarias

Gabriellen Carmo

Lauriano Benazzi

Marcelle Amaral

Talita Ribeiro

Published

July 15, 2024

About the project

SciELO-Summarizer consists of a summarizer for scientific articles in Portuguese. It scrapes the content of the article from the SciELO website and generates a personalized summary for the user using Large Language Models (LLMs), especifically Llama3.

To run the project locally, you need to have both Python 3.8 or higher and Llama3 installed. It is also possible to run the project on Google Colab, following this link.

The program was developed during the Summer Institute in Computational Social Sciences (SICSS) 2024, hosted by FGV ECMI, Brazil, in July 2024.

Citation

BibTeX citation:
@online{lamarca2024,
  author = {Lamarca, Felipe and Fernandes, Claudia and Zacarias, Daniel
    and Carmo, Gabriellen and Benazzi, Lauriano and Amaral, Marcelle and
    Ribeiro, Talita},
  title = {SciELO-Summarizer},
  date = {2024-07-15},
  url = {https://github.com/felipelmc/SciELO-Summarizer},
  langid = {en}
}
For attribution, please cite this work as:
Lamarca, Felipe, Claudia Fernandes, Daniel Zacarias, Gabriellen Carmo, Lauriano Benazzi, Marcelle Amaral, and Talita Ribeiro. 2024. “SciELO-Summarizer.” July 15, 2024. https://github.com/felipelmc/SciELO-Summarizer.