GT4SD/zero-shot-bert-adapters

Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.

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Emerging

This project helps customer service teams and product managers automatically discover new types of customer requests or "intents" from text data. You provide raw text queries from users, and it identifies and groups previously unseen user intents. This is for anyone needing to understand evolving user needs or spot emerging trends in customer communication without prior labeling.

No commits in the last 6 months.

Use this if you need to quickly identify novel categories of user inquiries or feedback from large volumes of text, without having to manually pre-define or label these categories.

Not ideal if you already have a well-defined set of intent categories and just need to classify new queries into those known categories.

customer-service-analytics user-feedback topic-discovery natural-language-understanding market-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

44

Forks

10

Language

Python

License

MIT

Last pushed

Jun 13, 2023

Commits (30d)

0

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