tm_corona
Spiegel Online news topics and COVID-19 – a topic modeling approach
Markus Konrad markus.konrad@wzb.eu, November 2020
This is a small project to showcase topic modeling with the tmtoolkit Python package, where I use a corpus of articles from the German online news website Spiegel Online (SPON) to create a topic model for before and during the COVID-19 pandemic. This topic model is then used to analyze the volume of media coverage regarding the pandemic and how it changed over time. Currently, a time span from Oct. 2019 to end of Aug. 2020 is covered but I plan to give an update for a time span until end of Nov. 2020.
The main analysis is done in a Jupyter notebook. Head over there for an application of topic models. For the other scripts, see the GitHub repository.