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Data science and NLP based on speeches given in Bundestag (german parliament)

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Topic Modelling on Bundestag Speeches

Data science and natural language processing based on speeches given in Bundestag (german parliament)

Presentation

See raphaelw.github.io/nlp-bundestag

Or run with jupyter nbconvert presentation.ipynb --to slides --post serve

Resulting Topics

For all 50 topics see topics.md

Topic 8: German reunification (Deutsche Wiedervereinigung) Topic 8

Dataset and Reproducibility

Dataset

Richter, F.; Koch, P.; Franke, O.; Kraus, J.; Kuruc, F.; Thiem, A.; Högerl, J.; Heine, S.; Schöps, K. (2020). Open Discourse. https://doi.org/10.7910/DVN/FIKIBO. Harvard Dataverse. V3.

Reproducibility

  • Download the dataset as feather format into data/opendiscourse/feather/
  • Run topic_modelling.ipynb
  • Run topic_modelling_part_2.ipynb

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Data science and NLP based on speeches given in Bundestag (german parliament)

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