Supplemental materials to the article, Six Ways to Implement Natural Language Processing in the Social Sector. This repo contains the code supporting the online demos as well as sample code for reproducing the results. The intention behind sharing this material is to provide a starting point for further exploration of the techniques described in the article.
/docs: Source code for demo site (https://datakind.github.io/NLP_Social_Sector/)/notebooks: Jupyter notebooks to reproduce the results shown in the demo site/notebooks/data: input data for notebooks (NB: most data gets fetched from S3 from the notebook)/notebooks/scrapers: sample code for scraping the input data
This work was managed by Alfred Lee and Ben Kinsella at DataKind. We are grateful to our volunteers who contributed to this project. Scrapers and demos were developed by Sarah Eltinge, Matthew Harris, and John Winter. Jared McDonald contributed the web development. None of this would have been possible without their energy, expertise, and enthusiasm.