The Mood Game - How to Use the Player's Affective State in a Shoot'em up Avoiding Frustration and Boredom. - David Halbhuber; Jakob Fehle; Alexander Kalus; Konstantin Seitz; Martin Kocur; Thomas Schmidt 011; Christian Wolff 001 (MuC, 2019)

The Effects of Full-Body Avatar Movement Predictions in Virtual Reality using Neural Networks. - Valentin Schwind; David Halbhuber; Jakob Fehle; Jonathan Sasse; Andreas Pfaffelhuber; Christoph Tögel; Julian Dietz; Niels Henze (VRST, 2020)

Sentiment Analysis on Twitter for the Major German Parties during the 2021 German Federal Election. - Thomas Schmidt 011; Jakob Fehle; Maximilian Weissenbacher; Jonathan Richter; Philipp Gottschalk; Christian Wolff 001 (KONVENS, 2022)

Using Artificial Neural Networks to Compensate Negative Effects of Latency in Commercial Real-Time Strategy Games. - David Halbhuber; Maximilian Seewald; Fabian Schiller; Mathias Götz; Jakob Fehle; Niels Henze (MuC, 2022)

Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year. - Nils Constantin Hellwig; Markus Bink; Thomas Schmidt 011; Jakob Fehle; Christian Wolff 001 (ICNLSP, 2023)

Aspect-Based Sentiment Analysis as a Multi-Label Classification Task on the Domain of German Hotel Reviews. - Jakob Fehle; Leonie Münster; Thomas Schmidt 011; Christian Wolff 001 (KONVENS, 2023)

GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis. - Nils Constantin Hellwig; Jakob Fehle; Markus Bink; Christian Wolff 001 (KONVENS, 2024)

Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram. - Michael Achmann-Denkler; Jakob Fehle; Mario Haim; Christian Wolff 001 (CoRR, 2024)

Exploring Twitter discourse with BERTopic: topic modeling of tweets related to the major German parties during the 2021 German federal election. - Nils Constantin Hellwig; Jakob Fehle; Markus Bink; Thomas Schmidt 011; Christian Wolff 001 (Int. J. Speech Technol., 2024)

Exploring large language models for the generation of synthetic training samples for aspect-based sentiment analysis in low resource settings. - Nils Constantin Hellwig; Jakob Fehle; Christian Wolff 001 (Expert Syst. Appl., 2025)

Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction. - Nils Constantin Hellwig; Jakob Fehle; Udo Kruschwitz; Christian Wolff 001 (CoRR, 2025)