gesis-css-textanalysis-course

GESIS Introduction to Computational Social Science Course Materials for Text Analysis

Data

Install IPython package: python3 -m pip install ipykernel nbformat nbclient nbconvert notebook
Install IRKernel
- Rscript -e "install.packages('IRkernel')"
- Rscript -e "IRkernel::installspec()"
Confirm with jupyter kernelspec list

Run quarto render file.qmd --no-execute; some R files can also be rendered this way.

Name		Name	Last commit message	Last commit date
data		data
figures		figures
.air.toml		.air.toml
.gitignore		.gitignore
Makefile		Makefile
README.md		README.md
basics.R		basics.R
dict.R		dict.R
ellmer_classification.R		ellmer_classification.R
fig_unsupervised.R		fig_unsupervised.R
keyness.R		keyness.R
lda_exercise_biograms.R		lda_exercise_biograms.R
lda_exercise_united_nations.R		lda_exercise_united_nations.R
llm_classification.R		llm_classification.R
packages.r		packages.r
precommit.sh		precommit.sh
proompting_table.csv		proompting_table.csv
references.bib		references.bib
sml.R		sml.R
snippets.R		snippets.R
svm.R		svm.R
svm_tuning.R		svm_tuning.R
title-block.md		title-block.md
unsupervised.R		unsupervised.R