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arXiv · 2012.03575

Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance

Matthias Blohm·Marc Hanussek·Maximilien Kintz
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Abstract

Recently, Automated Machine Learning (AutoML) has registered increasing success with respect to tabular data. However, the question arises whether AutoML can also be applied effectively to text classification tasks. This work compares four AutoML tools on 13 different popular datasets, including Kaggle competitions, and opposes human performance. The results show that the AutoML tools perform better than the machine learning community in 4 out of 13 tasks and that two stand out.

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Matthias Blohm, Marc Hanussek, Maximilien Kintz. 2020-12-07. Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. https://arxiv.org/abs/2012.03575

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