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arXiv · 2509.21138

AutoIntent: AutoML for Text Classification

Ilya Alekseev·Roman Solomatin·Darina Rustamova·Denis Kuznetsov
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Abstract

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.

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Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov. 2025-09-25. AutoIntent: AutoML for Text Classification. https://doi.org/10.18653/v1%2F2025.emnlp-demos.53

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