README.md

metadata

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.