Repository for Quantitative Text Analysis (QTA) in Political Science

The repository is home of replication material for my projects on the quantitative analysis of political text. The goals include:

• Measuring populism from diverse text sources such as election manifestos, speeches or tweets across languages using and advancing methods of QTA in several paper projects
• Documenting methods of QTA and preparing them didactically in a textbook titled "Doing Quantitative Text Analysis with R: Scraping, Preparing, Visualising and Modelling Data" (contract with SAGE)

Maintainer

Julian Bernauer
Data and Methods Unit
MZES Mannheim (Germany)

In collaboration with

Federico Nanni

Paper project "Cross-Lingual Topical Scaling of Sparse Rhetoric in Political Text using Word Embeddings"

Alejandro Ecker

Paper project "'Negative Press Covfefe': Fishing for Populism on Twitter using Word Embeddings"

Software to use:

• quanteda: http://quanteda.io/
• TopFish: https://github.com/codogogo/topfish/
• Wordfish: http://www.wordfish.org/
• Wordscores: http://www.tcd.ie/Political_Science/wordscores/
• Will Lowe has written a number of programs, in particular the R package austin: http://conjugateprior.org/software/