πŸ’« 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.

πŸ’Ό Use Case

Used in a smart Grievance Redressal System to analyze tone and emotion of user complaints, providing faster triage and better prioritization.

πŸ” Model Summary

  • Task: Sentiment Classification
  • Model: DistilBERT
  • Labels: Positive, Neutral, Negative
  • Format: safetensors
  • Trained on: Complaints from complaints.csv (custom dataset)
  • Framework: PyTorch with πŸ€— Transformers

πŸ§ͺ Example Input

"The support staff was helpful, but the delay was frustrating."
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