FinEdgeX-Sentiment
A specialized financial sentiment analysis model fine-tuned for the Indian stock market (NSE/BSE).
Model Description
FinEdgeX-Sentiment is built on top of FinBERT and further fine-tuned with:
- Financial PhraseBank (4,840 sentences with 66%+ annotator agreement)
- Custom Indian Market Dataset (55 curated examples covering NSE, BSE, SEBI, RBI contexts)
Labels
| Label | Description |
|---|---|
| BULLISH | Positive financial sentiment (growth, profit, upgrades) |
| BEARISH | Negative financial sentiment (losses, downgrades, risks) |
| NEUTRAL | No strong directional sentiment |
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="Somadhi-Chaitanya-09/finedgex-sentiment")
result = classifier("Reliance Industries reports record quarterly profit of ₹19,878 crores")
print(result)
# [{'label': 'BULLISH', 'score': 0.97}]
Training
- Base Model: ProsusAI/finbert
- Framework: PyTorch + HuggingFace Transformers
- Training Data: Financial PhraseBank + Custom Indian Market Data
- Epochs: 5 (with early stopping)
- Learning Rate: 2e-5
- Batch Size: 16
Built By
FinEdgeX — AI-Powered Indian Stock Market Intelligence Platform
License
Apache 2.0