Vol-2661
urn:nbn:de:0074-2661-7

Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

ChAT 2020
Chat Analytics for Twitch 2020

Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020)

Ghent, Belgium (virtual due to Covid-19 pandemic), September 18, 2020.

Edited by

Konstantin Kobs (1)
Martin Potthast (2)
Albin Zehe (1)
Matti Wiegmann (3)
Benno Stein (3)
Andreas Hotho (1)

(1) Julius-Maximilians Universität Würzburg, Germany
(2) Universität Leipzig, Germany
(3) Bauhaus-Universität Weimar, Germany

Table of Contents

Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020
Konstantin Kobs, Martin Potthast, Matti Wiegmann, Albin Zehe, Benno Stein, Andreas Hotho

Participant Papers

Team voyTECH: User Activity Modeling with Boosting Trees
Immanuel Bayer, Anastasios Zouzias
Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob
Marvin Gärtner, Andreas Theissler, Marc Fernandes
StinkyCheese: Chat-Based Model for Subscription Classification
Túlio Corrêa Loures, Gustavo Lúcius Fernandes, Fernanda G. Araújo, Karen S. Martins, Pedro O. S. Vaz-de-Melo

2020-09-01: submitted by Konstantin Kobs, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-02: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|