Hiring decisions biases
Business and project manager project work made by Pietro Tempesti and Beedetta Tessa
Objective of this project is to find the most common biases in the hiring decisions. To do so, a preliminary research in literature is crucial to address our researches.
In this repository you can find the code we've used to scrape the scopus database (scraping.py) and
our keyphrase extractor from the scraping results (nlp.py).
How to run the code
Add a config.json file with your scopus APIKey in the repository. The format of the file is:
{
"apikey": "[YOUR API KEY]",
"insttoken": "[YOUR INSTITUTION CODE]" //if you don't have an institution code, then leave ""
}Then, start the scraping.py script. It fetches from scopus at most 5000 documents and saves their abstracts in the
data/abstracts.txt file.
Start the nlp.py script to perform the keyphrase extraction from the .txt file; the results will be saved in the
data/keyphrases_[# of words].csv file