GESIS Training Courses
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Wiss. Koordination

Julia Leesch
Tel: +49 221 47694-169

Administrative Koordination

Laura Rüwe

Topic Modeling in R

Dozent(en):
Dr. Wouter van Atteveldt, Dr. Kasper Welbers

Datum: 13.11 - 15.11.2019 ics-Datei

Veranstaltungsort: Cologne / Course language: Englisch

Referenteninformationen - Dr. Wouter van Atteveldt

Referenteninformationen - Dr. Kasper Welbers

Keywords



The first workshop will give an introduction to topic modeling using R. The first day of the workshop we will introduce R, Rstudio, and tidyverse. This day can be safely skipped by students or researchers with experience in using R.
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In the first day of the second workshop, we will introduce topic modeling and the principles of automatic text analysis and topic modeling. We will explain the basic assumptions of bag-of-words analysis, unsupervised clustering, and the dirichlet distribution. We will use the quanteda and topicmodels packages for doing the analyses and LDAviz and corpustools for visualization and validation.

The second day of the second workshop we will first look in depth at how fitting an LDA model with Gibbs sampling actually works and look at the various parameters and choices. We will also look at linguistic preprocessing using the spacy package. Finally, we will introduce alternative topic models, from Dynamic and Correlated topic models to Structural Topic Models. We will use the stm package to show how to estimate a structural topic model with time or source as covariates, and show how to analyse and interpret the results.


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