WeiNyn/DIETClassifier-pytorch

DIET Classifier mini implementation on pytorch.

42
/ 100
Emerging

This tool helps businesses automatically understand customer inquiries or employee requests by simultaneously identifying the main intention behind a message and extracting key details from it. You provide it with examples of user questions and their corresponding intents and entities, and it produces a model that can process new text inputs, outputting the detected intent (like 'Holiday Application') and relevant entities (like 'leave type' or 'date'). This is for professionals who manage customer service chatbots or internal support systems and need to categorize and extract information from natural language interactions.

No commits in the last 6 months.

Use this if you need to build or enhance a system that automatically understands the specific purpose of a text message and extracts crucial pieces of information from it.

Not ideal if you primarily need general text summarization or sentiment analysis rather than specific intent and entity extraction.

natural-language-understanding customer-service-automation chatbot-development information-extraction conversational-ai
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

46

Forks

14

Language

Python

License

MIT

Last pushed

Feb 02, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/WeiNyn/DIETClassifier-pytorch"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.