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.
Project description
DLATK v1.1
This package offers end to end text analysis: feature extraction, part-of-speech tagging, correlation, mediation, prediction / classification, dimensionality reduction and clustering, and wordcloud visualization. For more information please visit:
CONTACT
Please send bug reports, patches, and other feedback to
Salvatore Giorgi (sgiorgi@sas.upenn.edu) or H. Andrew Schwartz (hansens@sas.upenn.edu)
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