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sidharths9105/
MindMate-Text-Emotion-Model

Name: MindMate-Text-Emotion-Model
Availability: InStock

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MindMate Text Emotion Model

Fine-tuned XLM-RoBERTa-base for multilingual emotion detection.

Trained on

DAIR-AI Emotion dataset
Additional small correction dataset (Malayalam + others)

Performance (test set)

Overall Accuracy: 92.70%
Detailed metrics:
- sadness: precision 0.97, recall 0.96, f1 0.97
- joy: 0.94 / 0.97 / 0.95
- anger: 0.92 / 0.92 / 0.92
- love: 0.92 / 0.74 / 0.82
- fear: 0.88 / 0.89 / 0.88
- surprise: 0.68 / 0.80 / 0.74

Supported languages

Excellent English performance
Strong Malayalam support (tested in notebook)

Usage example

python

from transformers import pipeline

classifier = pipeline("text-classification", model="sidharths9105/MindMate-Text-Emotion-Model")

print(classifier("ഞാൻ വളരെ സന്തോഷവാനാണ്"))          # → joy
print(classifier("I feel very angry today"))           # → anger