Servicenavigation

Statistik: mehr als Erbsen zählen

You are here:

M.Sc. Jonas Rieger

Wirtschafts- und Sozialstatistik

Contact

CDI-Gebäude,
Room 2
+49 231 755 - 3127
+49 231 755 - 5284
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund


Short CV

  • since 2018: Academic Staff Member
  • 2016-2018: Student Assistant in the field of Text Mining
  • 2013-2018: Study of Statistics with focus on Computer Science at TU Dortmund University
    Master Thesis: Comparison of latent Topics from LDA Topic Models [Vergleich latenter Themen aus LDA-Topicmodellen]

 

Research Interests

  • Text Data Analysis (Text Mining)
  • Machine Learning
  • Topic Modeling
  • Latent Dirichlet Allocation
  • Parameter Tuning
  • Model Selection

 

Software

GitHub Profile

 

Publications

ORCiD

  • Rieger, J. (2020). ldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocations. Journal of Open Source Software, 5(51), 2181.
  • Rieger, J., Rahnenführer, J. & Jentsch, C. (2020). Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. Natural Language Processing and Information Systems, NLDB 2020. LNCS 12089, pp. 118-125.
  • von Nordheim, G. & Rieger, J. (2020). Distorted by Populism – A computational analysis of German parliamentarians’ linking practices on Twitter [Im Zerrspiegel des Populismus – Eine computergestützte Analyse der Verlinkungspraxis von Bundestagsabgeordneten auf Twitter]. Publizistik. GitHub. EJO.

Accepted for Publication

  • Rieger, J., Jentsch, C. & Rahnenführer, J.: Assessing the Uncertainty of the Text Generating Process using Topic Models. To appear in EDML 2020. GitHub.

Preprints

Reviews

  • Rieger, J. (2019). Mónica Bécue-Bertaut (2019): Textual Data Science with R. Statistical Papers 60, pp. 1797-1798.

 

Teaching

  • Text Data meets Econometrics (WiSe 2021)
  • Einführung in Latex (SoSe 2020)
  • Entscheidungstheorie - Statistik VI (SoSe 2020)
  • Data Mining Cup 2020 (SoSe 2020) [1st and 6th]
  • Wahrscheinlichkeitstheorie - Statistik V (WiSe 2020)
  • Einführung in Latex (SoSe 2019)
  • Data Mining Cup 2019 (SoSe 2019) [12th and 16th]
  • Textdatenanalyse (SoSe 2019)