End to end human text analysis package, specifically suited for social media and social scientific applications. It is written in Python 3 and developed by the World Well-Being Project at the University of Pennsylvania and Stony Brook University.
This relates to my 3rd Econ 323 - Econometrics Analysis 2 assignment. The first half of the assignment reviews econometric theory principles. The second half involves crime data to examine possible racial discrimination. From the analysis, I conclude that there is no direct evidence of racial discrimination, but convict discrimination.
Add a description, image, and links to the social-scientific-applications topic page so that developers can more easily learn about it.
To associate your repository with the social-scientific-applications topic, visit your repo's landing page and select "manage topics."