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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)
Release History

Release History

This version
History Node

1.1.0

History Node

1.0.0

History Node

0.6.1

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
dlatk-1.1.0.tar.gz (20.6 MB) Copy SHA256 Checksum SHA256 Source Jun 30, 2017

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