SNF project sentiment inference (finished Dec 2022)
original by Don Tuggener
Focus of the project
- German sentiment inference based on connotation frames
- identify writer, reader and text perspective
- factuality determination for inference validation
- role framing: who gets positively/negatively conceptualized
- attitude prediction: who is in favour of /against who
Project staff
- Anne Göhring
- Alison Yong-Ju Kim
- Manfred Klenner
- Dylan Massey
Former members:
- Noëmi Aepli
- Sophia Conrad
- Andreas Säuberli
Funding
The project was funded by the Swiss National Science Fondation ( 105215-179302) and was finished December 2022.
References
Download and Demo System
- Animacy Classification for German (TGZ, 57 KB)
- Animacy Classification Gold Standard Data (TGZ, 116 KB)
- Pro/Con Sentiment Inference Gold Standard Data (TGZ, 227 KB)
- Quantifed NPs Silver Standard Data (TGZ, 267 KB)
- Negative Entities Quantified: Gold Standard Data (TGZ, 85 KB)
- X-stance Writer Perspective: Gold Standard Data (TGZ, 1 MB)
Also available from Zenodo
A demo of the current implementation is available here