Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. - Jonas Rieger; Jörg Rahnenführer; Carsten Jentsch (NLDB, 2020)

Assessing the Uncertainty of the Text Generating Process Using Topic Models. - Jonas Rieger; Carsten Jentsch; Jörg Rahnenführer (PKDD/ECML Workshops, 2020)

Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. - Jonas Rieger; Lars Koppers; Carsten Jentsch; Jörg Rahnenführer (CoRR, 2020)

ldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocations. - Jonas Rieger (J. Open Source Softw., 2020)

RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. - Jonas Rieger; Carsten Jentsch; Jörg Rahnenführer (EMNLP (Findings), 2021)

Finding Scientific Topics in Continuously Growing Text Corpora. - André Bittermann; Jonas Rieger (SDP@COLING, 2022)

Dynamic change detection in topics based on rolling LDAs. - Jonas Rieger; Kai-Robin Lange; Jonathan Flossdorf; Carsten Jentsch (Text2Story@ECIR, 2022)

SVD-reduction of high-dimensional German spatio-temporal wind speed data and clusters of similarity. - Oliver Grothe; Jonas Rieger (e-Energy, 2022)

Lex2Sent: A bagging approach to unsupervised sentiment analysis. - Kai-Robin Lange; Jonas Rieger; Carsten Jentsch (CoRR, 2022)

Reliability evaluation and an update algorithm for the latent Dirichlet allocation. - Jonas Rieger (2022)

Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. - Jonas Rieger; Nico Hornig; Jonathan Flossdorf; Henrik Müller; Stephan Mündges; Carsten Jentsch; Jörg Rahnenführer; Christina Elmer (LDK, 2023)

Visually Analyzing Topic Change Points in Temporal Text Collections. - Cedric Krause; Jonas Rieger; Jonathan Flossdorf; Carsten Jentsch; Fabian Beck 001 (VMV, 2023)

Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine. - Jonas Rieger; Kostiantyn Yanchenko; Mattes Ruckdeschel; Gerret von Nordheim; Katharina Kleinen-von Königslöw; Gregor Wiedemann (CoRR, 2023)

Lex2Sent: A bagging approach to unsupervised sentiment analysis. - Kai-Robin Lange; Jonas Rieger (KONVENS, 2024)

Zeitenwenden: Detecting changes in the German political discourse. - Kai-Robin Lange; Jonas Rieger; Niklas Benner; Carsten Jentsch (CoRR, 2024)

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning. - Jonas Rieger; Mattes Ruckdeschel; Gregor Wiedemann (CoRR, 2024)

spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models. - Maxime Faymonville; Javiera Riffo; Jonas Rieger; Carsten Jentsch (J. Open Source Softw., 2024)

LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. - Jonas Rieger; Carsten Jentsch; Jörg Rahnenführer (PeerJ Comput. Sci., 2024)

Monitoring narratives about the energy transition in Germany. - Jonas Rieger; Lars Grönberg; Carmen Loschke; Sibylle Braungardt (Text2Story@ECIR, 2025)

ttta: Tools for Temporal Text Analysis. - Kai-Robin Lange; Niklas Benner; Lars Grönberg; Aymane Hachcham; Imene Kolli; Jonas Rieger; Carsten Jentsch (CoRR, 2025)