AutoIntent: AutoML for Text Classification

Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov

公開日: 2025/9/25

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.

AutoIntent: AutoML for Text Classification | SummarXiv | SummarXiv