weizhenzhao/rasa_nlu
Combine Tecent's bert as service model and rasa_nlu for text classification
This project helps operations managers or supply chain professionals automatically categorize incoming text messages or inquiries related to supply chain issues. You provide examples of typical supply chain questions or statements, and it learns to classify them, allowing for faster routing or automated responses. The primary user is someone managing communication workflows in logistics or supply chain operations.
No commits in the last 6 months.
Use this if you need to automatically sort and understand the intent behind a large volume of free-form text inquiries in a supply chain or customer service context.
Not ideal if your text classification needs are outside of supply chain or general customer service, or if you require real-time, ultra-low latency responses for very small datasets.
Stars
20
Forks
16
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 29, 2022
Commits (30d)
0
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