Jonas Rieger

According to our database, Jonas Rieger authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Visually Analyzing Topic Change Points in Temporal Text Collections.

Cedric Krause, Jonas Rieger, Jonathan Flossdorf, Carsten Jentsch, Fabian Beck

Proceedings of the VMV 2023, 2023

2022

Reliability evaluation and an update algorithm for the latent Dirichlet allocation.

Jonas Rieger

PhD thesis, 2022

Lex2Sent: A bagging approach to unsupervised sentiment analysis.

Kai-Robin Lange, Jonas Rieger, Carsten Jentsch

CoRR, 2022

SVD-reduction of high-dimensional German spatio-temporal wind speed data and clusters of similarity.

Oliver Grothe, Jonas Rieger

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Dynamic change detection in topics based on rolling LDAs.

Jonas Rieger, Kai-Robin Lange, Jonathan Flossdorf, Carsten Jentsch

Proceedings of Text2Story, 2022

Finding Scientific Topics in Continuously Growing Text Corpora.

André Bittermann, Jonas Rieger

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021

RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data.

Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

ldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocations.

Jonas Rieger

J. Open Source Softw., 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

Assessing the Uncertainty of the Text Generating Process Using Topic Models.

Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer

Proceedings of the ECML PKDD 2020 Workshops, 2020

Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype.

Jonas Rieger, Jörg Rahnenführer, Carsten Jentsch

Proceedings of the Natural Language Processing and Information Systems, 2020