This script extracts the historic word occurrence of a search term in academic papers (from Google Scholar). It allows for spotting trends in research and analyzing the relevance of a topic over time.
There is a Python 3 branch (master) and a Python 2 branch (python2).
python extract_occurrences.py '<keyword>' <start date> <end date>
This command lists the number of publications for every year using this keyword. The script just searches for articles and excludes patents and citations.
You can use Docker to run this script, without the need of having Python or its dependencies installed.
- Update the
commandwith your search term and time range indocker-compose.yml - run
docker-compose up
- Search term: 'bitcoin'
- Desired time span: 2000 to 2015
- Command:
python extract_occurrences.py 'bitcoin' 2000 2015 - Output:
out.csv, with the following contents:
| year | results |
|---|---|
| ... | ... |
| 2011 | 141 |
| 2012 | 292 |
| 2013 | 889 |
| 2014 | 2370 |
| 2015 | 2580 |
Created by Volker Strobel - [email protected]
If you use this code in academic papers, please cite this repository via Zenodo (http://doi.org/10.5281/zenodo.1218409):
Volker Strobel. (2018, April 14). Pold87/academic-keyword-occurrence: First release (Version v1.0.0). Zenodo. http://doi.org/10.5281/zenodo.1218409