Build a Human Trafficking Dataset from Court Cases and News Articles¶
The goal is to build a dataset that gathers information on human trafficking from court cases and news articles. This project started from a series of conversations with Professor Yuliya Zabyelina, Eric Schles and Aida Shoydokova.
- 20171012 YZ suggests to RH that it would be useful to build a human trafficking dataset from court cases and news articles.
- 20171103 AS talks with RH and begins working on information extraction from court cases.
- 20171105 YZ, N, OC, AS, SA, RH meet to discuss ideas and coordinate work.
- 20171214 YZ, ES, AS, RH present their work in a workshop on Computational Approaches to Fight Human Trafficking Using Python, hosted at Civic Hall by CrossCompute, NYC PyLadies, Spatiotemporal Analysis for Community Health and Safety and sponsored by the Python Software Foundation.
All of the exercises in this tutorial are also CrossCompute Tools. To learn how to format a Jupyter Notebook as a CrossCompute Tool, please see this example.