Dynamic change detection in topics based on rolling LDAs. J Rieger, KR Lange, J Flossdorf, C Jentsch Text2Story@ ECIR, 5-13, 2022 | 10 | 2022 |
Towards extracting collective economic narratives from texts KR Lange, M Reccius, T Schmidt, H Müller, MWM Roos, C Jentsch Ruhr Economic Papers, 2022 | 8 | 2022 |
Lex2Sent: A bagging approach to unsupervised sentiment analysis KR Lange, J Rieger, C Jentsch 20th Conference on Natural Language Processing (KONVENS 2024), 281–291, 2024 | 5 | 2024 |
Zeitenwenden: Detecting changes in the German political discourse KR Lange, J Rieger, N Benner, C Jentsch Workshop on Computational Linguistics for Political Text Analysis @Konvens …, 2022 | 2 | 2022 |
Named entity narratives N Benner, KR Lange, C Jentsch Ruhr Economic Papers, 2022 | 2 | 2022 |
SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments KR Lange, C Jentsch arXiv preprint arXiv:2410.17886, 2024 | | 2024 |
ttta: Tools for Temporal Text Analysis KR Lange, L Grönberg, N Benner, I Kolli, A Hachcham, J Rieger, ... | | |
SpeakGer KR Lange, C Jentsch | | |