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AutoIntent: AutoML for Text Classification
🤗 Upvotes: 22 | cs.CL
Authors:
Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov
Title:
AutoIntent: AutoML for Text Classification
Arxiv:
http://arxiv.org/abs/2509.21138v1
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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By Jingwen Liang, Gengyu Wang🤗 Upvotes: 22 | cs.CL
Authors:
Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov
Title:
AutoIntent: AutoML for Text Classification
Arxiv:
http://arxiv.org/abs/2509.21138v1
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.