metadata
language: en
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- text-classification
- sentiment-analysis
- transformer
- distilbert
- huggingface
pipeline_tag: text-classification
widget:
- text: I love the way your startup handled my issue. Brilliant support!
💫 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.
💼 Use Case
Used in a smart Grievance Redressal System to analyze tone and emotion of user complaints, providing faster triage and better prioritization.
🔍 Model Summary
- Task: Sentiment Classification
- Model: DistilBERT
- Labels:
Positive,Neutral,Negative - Format:
safetensors - Trained on: Complaints from
complaints.csv(custom dataset) - Framework: PyTorch with 🤗 Transformers
🧪 Example Input
"The support staff was helpful, but the delay was frustrating."