Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Rieger Jonas"'
Autor:
Grothe Oliver, Rieger Jonas
Publikováno v:
Dependence Modeling, Vol 12, Iss 1, Pp 30-47 (2024)
We analyze optimal low-rank approximations and correspondence analysis of the dependence structure given by arbitrary bivariate checkerboard copulas. Methodologically, we make use of the truncation of singular value decompositions of doubly stochasti
Externí odkaz:
https://doaj.org/article/d86785501fdb46d2a87c81bb9089b73a
Publikováno v:
2nd Workshop on Computational Linguistics for Political Text Analysis (CPSS@KONVENS 2022), 47-53
From a monarchy to a democracy, to a dictatorship and back to a democracy -- the German political landscape has been constantly changing ever since the first German national state was formed in 1871. After World War II, the Federal Republic of German
Externí odkaz:
http://arxiv.org/abs/2410.17960
Although the statistical literature extensively covers continuous-valued time series processes and their parametric, non-parametric and semiparametric estimation, the literature on count data time series is considerably less advanced. Among the count
Externí odkaz:
http://arxiv.org/abs/2401.14239
Autor:
Rieger, Jonas, Yanchenko, Kostiantyn, Ruckdeschel, Mattes, von Nordheim, Gerret, Königslöw, Katharina Kleinen-von, Wiedemann, Gregor
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the coding of
Externí odkaz:
http://arxiv.org/abs/2312.16975
Autor:
Rieger, Jonas1 (AUTHOR) jonas.rieger@kit.edu, Liu, Bolin1 (AUTHOR), Saugel, Bernd2 (AUTHOR), Grothe, Oliver1 (AUTHOR)
Publikováno v:
BMC Medical Research Methodology. 11/12/2024, Vol. 24, p1-21. 21p.
Publikováno v:
20th Conference on Natural Language Processing (KONVENS 2024), 281-291
Unsupervised text classification, with its most common form being sentiment analysis, used to be performed by counting words in a text that were stored in a lexicon, which assigns each word to one class or as a neutral word. In recent years, these le
Externí odkaz:
http://arxiv.org/abs/2209.13023
For organizing large text corpora topic modeling provides useful tools. A widely used method is Latent Dirichlet Allocation (LDA), a generative probabilistic model which models single texts in a collection of texts as mixtures of latent topics. The a
Externí odkaz:
http://arxiv.org/abs/2003.04980
Akademický článek
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Autor:
Rieger, Jonas, Yanchenko, Kostiantyn, Ruckdeschel, Mattes, von Nordheim, Gerret, Königslöw, Katharina Kleinen-von, Wiedemann, Gregor
Publikováno v:
Studies in Communication, Media (SCM); 2024, Vol. 13 Issue 1, p72-100, 29p
Akademický článek
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