no code implementations • NAACL (Emoji) 2022 • Jens Reelfs, Timon Mohaupt, Sandipan Sikdar, Markus Strohmaier, Oliver Hohlfeld
We study the extent to which emoji can be used to add interpretability to embeddings of text and emoji.
no code implementations • 1 Mar 2021 • Jens Helge Reelfs, Max Bergmann, Oliver Hohlfeld, Niklas Henckell
In this work, we predict the user lifetime within the anonymous and location-based social network Jodel in the Kingdom of Saudi Arabia.
no code implementations • 19 May 2020 • Jens Helge Reelfs, Oliver Hohlfeld, Markus Strohmaier, Niklas Henckell
We train word-emoji embeddings on large scale messaging data obtained from the Jodel online social network.
no code implementations • 4 Jul 2019 • Constantin Sander, Jan Rüth, Oliver Hohlfeld, Klaus Wehrle
We present DeePCCI, a passive, deep learning-based congestion control identification approach which does not need any domain knowledge other than training traffic of a congestion control variant.