Jakob Fehle, M.Sc.

 Lebenslauf

Forschungsinteressen

• Natürliche Sprachverarbeitung (NLP)
• Text Mining
• Sentiment Analyse

Lehre

Sommersemester 2023

• Grundlagen Human-Computer Interaction (Übungsleitung)
• Praxisseminar Master

Wintersemester 2022

• Digital Humanities (Übung)

Sommersemester 2022

• Grundlagen Human-Computer Interaction (Übungsleitung)
• Praxisseminar Master

Wintersemester 2021

• Projektseminar Multimedia Engineering
• Multimedia Technology (Übung)
• Digital Humanities (Übung)

Sommersemester 2021

• Webtechnologien (Übung)
• Praxisseminar Master

Publikationen

• Hellwig, N. C., Fehle, J., & Wolff, C. (2025). Exploring large language models for the generation of synthetic training samples for aspect-based sentiment analysis in low resource settings. Expert Systems with Applications, 261(125514), 125514.
• Nils Constantin Hellwig, Jakob Fehle, Markus Bink, and Christian Wolff. 2024. GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis. In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pages 123–133, Vienna, Austria. Association for Computational Linguistics.
• Achmann-Denkler, M., Fehle, J., Haim, M., & Wolff, C. (2024). Detecting Calls to Action in multimodal content: Analysis of the 2021 German federal election campaign on Instagram. In arXiv [cs.SI]. arXiv. 
• Hellwig, N. C., Fehle, J., Bink, M., Schmidt, T., & Wolff, C. (2024). Exploring Twitter discourse with BERTopic: topic modeling of tweets related to the major German parties during the 2021 German federal election. International Journal of Speech Technology, 1–21.
• Althammer, C., Bauer, J., Böhm, V., Fehle, J., Mielke, B., & Wolff, C. (2023). Das Basisdokument geht ins Reallabor: Zur Evaluation des Einsatzes bei Gericht. 33, 159–168.
• Hellwig, N. C., Bink, M., Schmidt, T., Fehle, J., & Wolff, C. (2023). Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year. 84–98.
• Schmidt, T., Fehle, J., Weissenbacher, M., Richter, J., Gottschalk, P., & Wolff, C. (2022). Sentiment Analysis on Twitter for the Major German Parties during the 2021 German Federal Election. In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022) (pp. 74-87).
• Halbhuber, D., Seewald, M., Schiller, F., Götz, M., Fehle, J., & Henze, N. (2022). Using Artificial Neural Networks to Compensate Negative Effects of Latency in Commercial Real-Time Strategy Games. In Proceedings of Mensch und Computer 2022 (pp. 182-191).
• Fehle, J., Schmidt, T., & Wolff, C. (2021). Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques. In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021) (pp. 86-103).
• Schwind, V., Halbhuber, D., Fehle, J., Sasse, J., Pfaffelhuber, A., Tögel, C., ... & Henze, N. (2020, November). The Effects of Full-Body Avatar Movement Predictions in Virtual Reality using Neural Networks. In 26th ACM Symposium on Virtual Reality Software and Technology (pp. 1-11).
• Halbhuber, D., Fehle, J., Kalus, A., Seitz, K., Kocur, M., Schmidt, T., & Wolff, C. (2019). The Mood Game-How to Use the Player's Affective State in a Shoot'em up Avoiding Frustration and Boredom. In Proceedings of Mensch Und Computer 2019 (pp. 867-870).