Jakob Fehle

Orcid: 0009-0001-7845-9511

According to our database1, Jakob Fehle authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Prompting Is All You Need: Multi-view Prompting Large Language Models for Aspect-Based Sentiment Analysis.
CoRR, May, 2026

Annotation Quality in Aspect-Based Sentiment Analysis: A Case Study Comparing Experts, Students, Crowdworkers, and Large Language Model.
CoRR, May, 2026

Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis.
CoRR, April, 2026

nchellwig at SemEval-2026 Task 3: Self-Consistent Structured Generation (SCSG) for Dimensional Aspect-Based Sentiment Analysis using Large Language Models.
CoRR, March, 2026

LLM-as-an-Annotator: Training Lightweight Models with LLM-Annotated Examples for Aspect Sentiment Tuple Prediction.
CoRR, March, 2026

AnnoABSA: A Web-Based Annotation Tool for Aspect-Based Sentiment Analysis with Retrieval-Augmented Suggestions.
CoRR, March, 2026

Leveraging fine-tuning of large language models for aspect-based sentiment analysis in resource-scarce environments.
Knowl. Based Syst., 2026

Exploring Large-Scale Social Media Data Using Sentiment Analysis and Topic Modeling - A Case Study of Instagram Posts in Context of the 2024 German Government Crisis.
Proceedings of the 18th ACM Web Science Conference 2026, 2026

2025
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction.
CoRR, February, 2025

Exploring large language models for the generation of synthetic training samples for aspect-based sentiment analysis in low resource settings.
Expert Syst. Appl., 2025

2024
Exploring Twitter discourse with BERTopic: topic modeling of tweets related to the major German parties during the 2021 German federal election.
Int. J. Speech Technol., December, 2024

Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram.
CoRR, 2024

GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis.
Proceedings of the 20th Conference on Natural Language Processing, 2024

2023
Aspect-Based Sentiment Analysis as a Multi-Label Classification Task on the Domain of German Hotel Reviews.
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year.
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), 2023

2022
Using Artificial Neural Networks to Compensate Negative Effects of Latency in Commercial Real-Time Strategy Games.
Proceedings of the MuC '22: Mensch und Computer 2022, Darmstadt Germany, September 4, 2022

Sentiment Analysis on Twitter for the Major German Parties during the 2021 German Federal Election.
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022

2020
The Effects of Full-Body Avatar Movement Predictions in Virtual Reality using Neural Networks.
Proceedings of the VRST '20: 26th ACM Symposium on Virtual Reality Software and Technology, 2020

2019
The Mood Game - How to Use the Player's Affective State in a Shoot'em up Avoiding Frustration and Boredom.
Proceedings of Mensch und Computer 2019, Hamburg, Germany, September 8-11, 2019, 2019


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