DLATK is an 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 code implements a basic, Twitter-aware tokenizer. Originally developed by Christopher Potts and updated by the World Well-Being Project based out of the University of Pennsylvania and Stony Brook University. Shared with permission.