Name: PAN18 Author Profiling
Description: 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.
Provider: Bauhaus-Universität Weimar
Paper Title: Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter
Tasks: author profiling
Venue Name: Conference and Labs of the Evaluation Forum
Authors: Rangel, Francisco, Rosso, Paolo, Potthast, Martin, & Stein, Benno.
Abstract: nan