AutoIntent: AutoML for Text Classification
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.
68d63bd58ccd91bdd39ffea7
Ilya Alekseev
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2025-09-26T12:08:47.573Z
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Ilya Alexeev
user
voorhs
68d63bd58ccd91bdd39ffea8
Roman Solomatin
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2025-09-26T12:08:50.840Z
61af4544d691b3aadd1f62b6
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Solomatin Roman
user
Samoed
68d63bd58ccd91bdd39ffea9
Darina Rustamova
68d63bd58ccd91bdd39ffeaa
Denis Kuznetsov
AutoIntent: AutoML for Text Classification
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 is an automated machine learning tool for text classification that offers end-to-end automation, including embedding model selection, classifier optimization, and decision threshold tuning, and supports multi-label classification and out-of-scope detection.
embedding model selection classifier optimization decision threshold tuning multi-label classification out-of-scope detection