M.Sc. Kai-Robin Lange

• seit November 2021: Wissenschaftlicher Mitarbeiter und Promovierender am Lehrstuhl für Wirtschafts- und Sozialstatistik
• 2020-2021: Wissenschaftliche Hilfskraft am Lehrstuhl für Wirtschafts- und Sozialstatistik
• 2019-2021: M.Sc. Statistik, TU Dortmund
  Masterarbeit: Resampling strategies for unsupervised sentiment analysis using lexicon-based text embedding methods
• 2016-2019: B.Sc. Statistik, TU Dortmund

GitHub Profil

• lex2sent [pypi][github]
• speakger [github][BERD]
• ttta [pypi] [github]

ORCiD, Google Scholar

• Lange, K.-R., Schmidt, T., Reccius, M., Müller, H., Roos, M. und Jentsch, C. (2025). Narrative Shift detection: A hybrid approach of Dynamic Topic Models and Large Language Models. Erscheint in Proceedings of the Text2Story'25 Workshop.
• Lange, K.-R., Rieger, J. und Jentsch, C. (2024). Lex2Sent: A bagging approach to unsupervised sentiment analysis. Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), 281-291. pdf. GitHub.
• Lange, K.-R., Jentsch, C. (2023). SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. Proceedings of the 3rd Workshop on Computational Linguistics for Political Text Analysis. Poster. pdf. download.GitHub.
• Lange, K.-R., Rieger, J., Benner, N. und Jentsch, C. (2022). Zeitenwenden: Detecting changes in the German political discourse. Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis, 47-53. pdf. GitHub.
• Rieger, J., Lange, K.-R., Flossdorf, J. und Jentsch, C. (2022). Dynamic change detection in topics based on rolling LDAs. Proceedings of the Text2Story'22 Workshop. CEUR-WS 3117, 5-13. pdf. GitHub.

Pre-prints und Working Paper

• Lange, K.-R., Benner, N., Grönberg, L., Hachcham, A., Kolli, I., Rieger, J. und Jentsch, C. (2025). ttta: Tools for Temporal Text Analysis. arXiv. Link.

Discussion Paper

• Lange, K.-R., Reccius, M., Schmidt, T., Müller, H., Roos, M., und Jentsch, C. (2022).  Towards extracting collective economic narratives from texts. Ruhr Economic Papers #963. Link
• Benner, N., Lange, K.-R., und Jentsch, C. (2022).  Named Entity Narratives. Ruhr Economic Papers #962. Link

• "Tools for Temporal Text Analysis (ttta): A Python code collection for diachronic NLP tasks". CPSS Workshop @KONVENS 2024. Wien, Österreich (09/2024). pdf.
• "Lex2Sent: A bagging approach to unsupervised sentiment analysis." 20th Conference on Natural Language Processing (KONVENS 2024). Wien, Österreich (09/2024).
• "Identifying economic narratives in large text corpora". Sixth International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT) 2024. Amsterdam, Niederlande (05/2024).
• "SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments" CPSS Workshop @KONVENS 2023. Potsdam, Deutschland (09/2023).
• "Roll2Vec: updating diachronic embeddings with a rolling window ". Statistische Woche 2023. Dortmund, Deutschland (09/2023).
• "Zeitenwenden: Detecting changes in the German political discourse". CPSS Workshop @KONVENS 2022. Potsdam, Deutschland (09/2022).

• Seminar: Advanced Text Mining Methods (SoSe 2024)
• Natural Language Processing (WiSe 2023/24)
• Seminar: Advanced Text Mining Methods (WiSe 2022/23)
• Asymptotic Theory (WiSe 2022/23)
• Text as Data (WiSe 2022/23)
• Entscheidungstheorie (SoSe 2022)
• Asymptotic Theory (WiSe 2021/22)