This repository provides a gist on how to leverage topic modeling on scientific literature (PDF papers).
I recommend doing the procedure illustrated here before conducting a systematic or scoping literature review in order to increase the eyesight of what you as a researcher should expect to see as topics that surround the papers under investigation.
To illustrate the procedure, I collected some papers in three well-known search
engines for scientific articles, namely Web of Science, Scopus and IEEE.
In /data, you can find the queries used in each search engine, as well as the
exported metadata. I cannot provide the results PDFs due to copyright issues.
Feel free to explore the topics behind the scientific literature that you are interested in , and please interact in some way (open an issue, give some feedback, or suggest on what this repo could be improved).
If you use this code or find it interesting, please cite us!
@article{pohl2022social,
title={Social bots spreading disinformation about finance: research trends, and ethical challenges},
author={Pohl, Janina and Griesbach, Marie and Samiei, Alireza and Araujo, Adelson},
journal={In press},
volume={0},
number={0},
pages={0},
year={2022},
publisher={In press}
}