π« Sentiment Model Aura (KS-Vijay)
This model is fine-tuned using DistilBERT to classify the sentiment of startup grievance text as either Positive, Neutral, or Negative.
πΌ Use Case
Used in a smart Grievance Redressal System to analyze tone and emotion of user complaints, providing faster triage and better prioritization.
π Model Summary
- Task: Sentiment Classification
- Model: DistilBERT
- Labels:
Positive,Neutral,Negative - Format:
safetensors - Trained on: Complaints from
complaints.csv(custom dataset) - Framework: PyTorch with π€ Transformers
π§ͺ Example Input
"The support staff was helpful, but the delay was frustrating."
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Model tree for KS-Vijay/sentiment-model-aura
Base model
distilbert/distilbert-base-uncased