Nils Constantin Hellwig

PhD student, Lehrstuhl für Medieninformatik, Universität Regensburg

Joined

April 2024

Names

Nils Constantin Hellwig (Preferred)

Emails

****@stud.uni-regensburg.de (Confirmed)

****@ur.de (Confirmed)

Personal Links

Career & Education History

PhD student

Lehrstuhl für Medieninformatik, Universität Regensburg (uni-regensburg.de)

2024 – 2027

MS student

Lehrstuhl für Medieninformatik, Universität Regensburg (uni-regensburg.de)

2022 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Christian Wolff

2024 – Present

PhD Advisor

Udo Kruschwitz

2024 – Present

Expertise

Aspect-Based Sentiment Analysis

2023 – Present

Structured Learning

2023 – Present

Large Language Models

2022 – Present

Political Sentiment Analysis

2022 – Present

Sentiment Analysis

2021 – Present

Publications

Leveraging fine-tuning of large language models for aspect-based sentiment analysis in resource-scarce environments
Jakob Fehle, Udo Kruschwitz, Nils Constantin Hellwig, Christian Wolff
- Knowledge-Based Systems
- Readers: Everyone
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz, Christian Wolff
- CoRR 2025
- Readers: Everyone
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
- Expert Syst. Appl. 2025
- Readers: Everyone
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, Christian Wolff
- Int. J. Speech Technol. 2024
- Readers: Everyone
GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis
Nils Constantin Hellwig, Jakob Fehle, Markus Bink, Christian Wolff
- CoRR 2024
- Readers: Everyone
Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year
Nils Constantin Hellwig, Markus Bink, Thomas Schmidt, Jakob Fehle, Christian Wolff
- ICNLSP 2023
- Readers: Everyone

Nils Constantin Hellwig

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Leveraging fine-tuning of large language models for aspect-based sentiment analysis in resource-scarce environments

Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction

Exploring large language models for the generation of synthetic training samples for aspect-based sentiment analysis in low resource settings

Exploring Twitter discourse with BERTopic: topic modeling of tweets related to the major German parties during the 2021 German federal election

GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis

Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year

Co-Authors