Einträge von Fehle, Jakob auf dem Publikationsserver

Hellwig, Nils Constantin , Fehle, Jakob , Kruschwitz, Udo und Wolff, Christian (2025) Do we still Need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction. arXiv.

Hellwig, Nils Constantin , Fehle, Jakob , Bink, Markus, Schmidt, Thomas und Wolff, Christian (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.

Hellwig, Nils Constantin , Fehle, Jakob und Wolff, Christian (2024) 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, S. 125514.

Achmann-Denkler, Michael , Fehle, Jakob, Haim, Mario und Wolff, Christian (2024) Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram. arXiv, 2409.02690.

Hellwig, Nils Constantin, Fehle, Jakob, Bink, Markus und Wolff, Christian (2024) GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis. In: Proceedings of the 20th Conference on Natural Language Processing (Konferenz zur Verarbeitung natürlicher Sprache, KONVENS 2024). Association for Computational Linguistics, S. 123-133.

Fehle, Jakob, Münster, Leonie, Schmidt, Thomas und Wolff, Christian (2023) Aspect-Based Sentiment Analysis as a Multi-Label Classification Task on the Domain of German Hotel Reviews. In: Georges, Munir und Herygers, Aaricia und Friedrich, Annemarie und Roth, Benjamin, (eds.) Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023). The Association for Computational Linguistics, Stroudsburg, PA, S. 202-218. ISBN 979-8-89176-029-5.

Althammer, Christoph, Bauer, Jens, Böhm, Viktoria, Fehle, Jakob, Mielke, Bettina und Wolff, Christian (2023) Das Basisdokument geht ins Reallabor: zur Evaluation des Einsatzes bei Gericht. In: Schweighofer, Erich und Zanol, Jakob und Eder, Stefan, (eds.) Rechtsinformatik als Methodenwissenschaft des Rechts : Tagungsband des 26. Internationalen Rechtsinformatik Symposions : IRIS 2023. Edition Weblaw. 2, Colloquium, 33. Editions Weblaw, Bern, S. 159-168. ISBN 978-3-98595-714-9.

Hellwig, Nils Constantin, Bink, Markus, Schmidt, Thomas , Fehle, Jakob und Wolff, Christian (2023) Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year. In: Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023). The Association for Computational Linguistics, Stroudsburg, PA, S. 84-98. ISBN 979-8-89176-065-3.

Schmidt, Thomas , Fehle, Jakob, Weissenbacher, Maximilian, Richter, Jonathan, Gottschalk, Philipp und Wolff, Christian (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). KONVENS 2022 Organizers, Potsdam, Germany, S. 74-87.

Halbhuber, David, Seewald, Maximilian, Schiller, Fabian, Götz, Mathias, Fehle, Jakob und Henze, Niels (2022) Using Artificial Neural Networks to Compensate Negative Effects of Latency in Commercial Real-Time Strategy Games. In: MuC '22: Mensch und Computer 2022, September 4 - 7, 2022, Darmstadt, Germany.

Fehle, Jakob, Schmidt, Thomas und Wolff, Christian (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), September 6-9, 2021, Düsseldorf, Germany.

Halbhuber, David, Fehle, Jakob, Kalus, Alexander, Seitz, Konstantin, Kocur, Martin, Schmidt, Thomas und Wolff, Christian (2019) The Mood Game - How to use the player’s affective state in a shoot’em up avoiding frustration and boredom. In: Alt, Florian und Bulling, Andreas und Döring, Tanja, (eds.) MuC'19: Proceedings of Mensch und Computer 2019. Association for Computing Machinery, New York, NY, USA, S. 867-870. ISBN 9781450371988.