💫 Happiness Vibration BERT
Happiness Vibration BERT is a fine-tuned bert-base-uncased model designed to measure Joy Intensity (0–3) in mindfulness-inspired language.
It was developed as part of a full NLP and Generative AI pipeline exploring how linguistic tone reflects emotional well-being.
| Label | Meaning |
|---|---|
| 0 | Low Joy |
| 1 | Neutral |
| 2 | Warm |
| 3 | High Joy |
The model was trained on 1,000 programmatically generated, domain-specific comments designed to mimic the tone, language, and positive affect common in mindfulness and gratitude communities.
The dataset intentionally emphasizes higher-joy expressions to test a model’s ability to detect subtle variations within predominantly positive text.
🚀 Quick Use
from transformers import pipeline
clf = pipeline("text-classification", model="DrJJoy/bulldog-joy-bert")
clf("Walking in the sunrise with my bulldog.")
# [{'label': '3', 'score': 0.982}]
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