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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. RELATED WORKAutoML services optimized for NLP tasks like Amazon Comprehend (Mishra) already exist on the market. While these products are specialized in

In the last few years, Automated Machine Learning (AutoML) has gained much attention. With that said, the question arises whether AutoML can outperform results achieved by human data scientists. This paper compares four AutoML frameworks on 12 different popular datasets from OpenML; six of them supervised classification tasks and the other six supervised regression ones. Additionally, we consider a real-life dataset from one of our recent projects. The results show that the automated frameworks perform better or equal than the machine learning community in 7 out of 12 OpenML tasks. 

Today, lots of online communities co-exist where users suggest and discuss ideas and problems. However, the diversity of such idea networks and the high launch rate of new platforms make it hard to keep track of the current idea community landscape. This article presents an approach to integrate arbitrary online ideation platforms that allow users to publicly utter and discuss new ideas or provide solutions to previously announced problems. We introduce our prototypical implementation of the approach that provides a single point of access for innovation managers, problem solvers and solution seekers

This article presents results from a survey of web-based idea portals. We focus on such portals that allow users to publicly utter and discuss new ideas or provide solutions to previously announced problems. We note that the number of such portals has been continuously growing ever since the late nineties and are concerned with the question of how to support interested companies in selecting a suitable portal