New publication: “Artificial intelligence trend analysis in German business and politics: a web mining approach”

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Our new open-access article Artificial intelligence trend analysis in German business and politics: a web mining approach by Dumbach et al. was published in the International Journal of Data Science and Analytics.

We describe a web mining approach to collect a novel data set consisting of business and political data sources combining 1.07 million articles and documents. We identified 246 AI-related buzzwords extracted from various glossaries. We used them to conduct an extensive trend detection and analysis study on the collected data using machine learning-based approaches.

This study successfully detects an AI trend and follows its evolution in business and political data sources over the past two decades. Moreover, we find a faster adoption of AI in business than in politics, with a considerable increase in policy discourse in recent years. The collected data can be used for trend detection besides AI-related topics using topic clustering and the COVID-19 pandemic as examples.

Check it out here 👉 online!

Many thanks to all co-authors: Dr. Leo Schwinn, Tim Löhr, Tassilo Elsberger and Prof. Björn M. Eskofier