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---
title: Email Intent Classifier
emoji: 🌍
colorFrom: red
colorTo: indigo
sdk: gradio
sdk_version: 5.21.0
app_file: app.py
pinned: false
short_description: NLP model automatically classifying emails based on intent
---
Email Intent Classifier: This application helps businesses manage email overload by automatically categorizing emails based on their intent.
Problem: Email overload is a significant problem in businesses. Manually sorting and prioritizing emails takes valuable time from employees. Automatically categorizing emails by intent helps with:
- Prioritization of urgent matters
- Routing to appropriate departments
- Providing quick responses
- Managing workflow more efficiently
Solution: This app uses a fine-tuned DeBERTa transformer model to classify emails into different intent categories:
Question: Emails asking for information
Request: Emails asking for action or approval
Information: Emails sharing knowledge or updates
Scheduling: Emails about setting up meetings or events
Other: Any other intent
How to Use:
- Enter or paste an email text into the input box with subject
- Click "Submit"
- View the predicted intent categories and their probability/confidence scores
Model Details: This model was fine-tuned on an email dataset with the following specifications:
Base Model: DistilBERT (base-uncased)
Training Dataset: Synthetic dataset of categorized emails across 6 intent categories
Limitations:
Very short or ambiguous emails may be classified with lower confidence
Emails with multiple intents may be classified based on the dominant intent
Deployment:
This application is deployed using Hugging Face Spaces with Gradio. The model weights are stored in the Hugging Face Model Hub.
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