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

Understand

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.