AutoIntent is an automated machine learning tool for text classification tasks. Unlike existing solutions, AutoIntent offers end-to-end automation with embedding model selection, classifier optimization, and decision threshold tuning, all within a modular, sklearn-like interface. The framework is designed to support multi-label classification and out-of-scope detection. AutoIntent demonstrates superior performance compared to existing AutoML tools on standard intent classification datasets and enables users to balance effectiveness and resource consumption.
AutoIntent: AutoML for Text Classification
AutoIntent is an automated machine learning tool for text classification tasks.
- Year
- 2025
- Venue
- arXiv 2025
- Authors
- 4
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2509.21138ARXIV-DEFAULT
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- Semantic Scholar