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Authors: Matthias Blohm 1 ; Marc Hanussek 1 and Maximilien Kintz 2

Affiliations: 1 University of Stuttgart, Institute of Human Factors and Technology Management (IAT), Stuttgart, Germany ; 2 Fraunhofer IAO, Fraunhofer Institute for Industrial Engineering IAO, Stuttgart, Germany

Keyword(s): AutoML, Text Classification, AutoML Benchmark, Machine Learning.

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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Paper citation in several formats:
Blohm, M.; Hanussek, M. and Kintz, M. (2021). Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 1131-1136. DOI: 10.5220/0010331411311136

@conference{icaart21,
author={Matthias Blohm. and Marc Hanussek. and Maximilien Kintz.},
title={Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={1131-1136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010331411311136},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
SN - 978-989-758-484-8
IS - 2184-433X
AU - Blohm, M.
AU - Hanussek, M.
AU - Kintz, M.
PY - 2021
SP - 1131
EP - 1136
DO - 10.5220/0010331411311136
PB - SciTePress

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