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aveluth/
author_regulatory_focus_classifier

Name: author_regulatory_focus_classifier
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Autor-Regulatory Focus Classifier (German)

This model is a fine-tuned transformer-based classifier that detects the regulatory focus in German-language text, classifying whether the language expresses a promotion (aspirational, growth-oriented) or prevention (safety, obligation-oriented) focus.

It is fine-tuned on top of a German-language base model for the task of binary text classification.

Model Details

Base model: deepset/gbert-large
Fine-tuned for: Binary classification (Regulatory Focus)
Language: German
Framework: Hugging Face Transformers
Model format: safetensors

Use Cases

Social psychology and communication research
Marketing and consumer behavior analysis
Literary or political discourse analysis
Behavioral modeling and goal orientation profiling

Example Usage

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model = AutoModelForSequenceClassification.from_pretrained("aveluth/author_regulatory_focus_classifier")
tokenizer = AutoTokenizer.from_pretrained("aveluth/author_regulatory_focus_classifier")

text = "Wir müssen sicherstellen, dass keine Fehler passieren. Sicherheit hat höchste Priorität."
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)
predicted_class = torch.argmax(outputs.logits).item()

print("Predicted class:", "prevention" if predicted_class == 0 else "promotion")

Labels

Class	Description
`0`	Prevention-focused language
`1`	Promotion-focused language

Training Details

Training data: Custom labeled corpus based on psychological framing
Loss function: Cross-entropy
Optimizer: AdamW
Epochs: 4
Learning rate: 3e-5

Limitations

Trained on German-language data only
Performance may vary on out-of-domain text (e.g., technical manuals, poetry)
May not generalize across all cultural framings of regulatory focus

License

MIT

Citation

If you use this model in your research, please cite:

bibtex

@article{velutharambath2023prevention,
  title={Prevention or Promotion? Predicting Author's Regulatory Focus},
  author={Velutharambath, Aswathy and Sassenberg, Kai and Klinger, Roman},
  journal={Northern European Journal of Language Technology},
  volume={9},
  number={1},
  year={2023}
}