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