jonasrieger Goto Github PK
Name: Jonas Rieger
Type: User
Company: TU Dortmund University
Bio: Statistician | Data Scientist in NLP
Twitter: Rieger94
Location: Germany
Name: Jonas Rieger
Type: User
Company: TU Dortmund University
Bio: Statistician | Data Scientist in NLP
Twitter: Rieger94
Location: Germany
Huggingface Transformers + Adapters = ❤️
Rieger, J. & von Nordheim, G. (2021). corona100d - German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV. DoCMA Working Paper #4.
This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
Rieger, J., Jentsch, C. and Rahnenführer, J. (2020). Assessing the Uncertainty of the Text Generating Process using Topic Models. ECML PKDD 2020 Workshops. CCIS 1323, pp. 385-396.
Rieger, J., Jentsch, C. & Rahnenführer, J. (2021). RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 2337–2347.
von Nordheim, G., Rieger, J. & Kleinen-von Königslöw, K. (2021). From the fringes to the core – An analysis of right-wing populists’ linking practices in seven EU parliaments and Switzerland. Digital Journalism.
Müller, H., Rieger, J., Schmidt, T. & Hornig, N. (2022). Pressure is high - and rising: The Inflation Perception Indicator (IPI) to 30 April 2022 - a Research Note Analysis. DoCMA Working Paper #10.
Fork of https://github.com/slycoder/R-lda and manipulated by adding a parameter n.init/n_/n_init
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
A rolling version of the Latent Dirichlet Allocation.
Dynamic change detection in topics based on rolling LDAs
Müller, H., Rieger. J. & Hornig, N. (2022). Vladimir vs. the Virus - a Tale of two Shocks. An Update on our Uncertainty Perception Indicator (UPI) to April 2022 - a Research Note. DoCMA Working Paper #11.
von Nordheim, G. & Rieger, J. (2020). Im Zerrspiegel des Populismus - Eine computergestützte Analyse der Verlinkungspraxis von Bundestagsabgeordneten auf Twitter. Publizistik 65, pp. 403-424.
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