AutoIntent: AutoML for Text Classification
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 21 of its 58 references that are in the map. First posted on arXiv 25 Sep 2025.
Builds on
21 of 58 references.
References · 21
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