PAN18 Author Profiling
We provide you with a training data set that consists of Twitter users labeled with gender. For each author, a total of 100 tweets and 10 images are provided. Authors are grouped by the language of their tweets: English, Arabic and Spanish.
Bauhaus-Universität Weimar
Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter
author profiling
Conference and Labs of the Evaluation Forum
Rangel, Francisco, Rosso, Paolo, Potthast, Martin, & Stein, Benno.
nan