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ORCIDJonas Rieger
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- affiliation: TU Dortmund University, Germany
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2020 – today
- 2024
[j2]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. PeerJ Comput. Sci. 10: e2279 (2024)- [c9]Kai-Robin Lange, Jonas Rieger:
Lex2Sent: A bagging approach to unsupervised sentiment analysis. BBBBBBBBBB 2024: 281-291 - 2023
- [c8]Jonas Rieger, Nico Hornig, Jonathan Flossdorf, Henrik Müller, Stephan Mündges, Carsten Jentsch, Jörg Rahnenführer, Christina Elmer:
Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. LDK 2023: 520-531 - [c7]Cedric Krause, Jonas Rieger, Jonathan Flossdorf, Carsten Jentsch, Fabian Beck
:
Visually Analyzing Topic Change Points in Temporal Text Collections. VMV 2023: 97-105 - [i3]Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim, Katharina Kleinen-von Königslöw, Gregor Wiedemann:
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine. CoRR abs/2312.16975 (2023) - 2022
- [b1]Jonas Rieger:
Reliability evaluation and an update algorithm for the latent Dirichlet allocation. Technical University of Dortmund, Germany, 2022 - [c6]André Bittermann, Jonas Rieger:
Finding Scientific Topics in Continuously Growing Text Corpora. SDP@COLING 2022: 7-18 - [c5]Jonas Rieger, Kai-Robin Lange, Jonathan Flossdorf, Carsten Jentsch:
Dynamic change detection in topics based on rolling LDAs. Text2Story@ECIR 2022: 5-13 - [c4]Oliver Grothe, Jonas Rieger:
SVD-reduction of high-dimensional German spatio-temporal wind speed data and clusters of similarity. e-Energy 2022: 515-520 - [i2]Kai-Robin Lange, Jonas Rieger, Carsten Jentsch:
Lex2Sent: A bagging approach to unsupervised sentiment analysis. CoRR abs/2209.13023 (2022) - 2021
- [c3]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. EMNLP (Findings) 2021: 2337-2347 - 2020
- [j1]Jonas Rieger:
ldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocations. J. Open Source Softw. 5(51): 2181 (2020) - [c2]Jonas Rieger, Jörg Rahnenführer, Carsten Jentsch:
Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. NLDB 2020: 118-125 - [c1]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
Assessing the Uncertainty of the Text Generating Process Using Topic Models. PKDD/ECML Workshops 2020: 385-396 - [i1]Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer:
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. CoRR abs/2003.04980 (2020)
Coauthor Index
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