AutoIntent: AutoML for Text Classification
Authors: name: Ilya Alekseev, name: Roman Solomatin, name: Darina Rustamova, name: Denis Kuznetsov
Organization: DeepPavlov

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.