TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling

TwiSty is a corpus developed for research in author profiling. It contains personality (MBTI) and gender annotations for a total of 18,168 authors spanning six languages. We distribute the Twitter ids of these authors as well as the ids of their available tweets at the time of corpus development. The tweets have undergone language identification and can be found in a Confirmed (as belonging to the language in which the author is situated) and Other category.

Publication year:2016

Accessibility:open

Publisher:CLiPS Research Group, University of Antwerp

License:CC-BY-4.0

Format:json, txt

Keywords: Linguistics