Methods Bites

Blog of the MZES Social Science Data Lab

Advancing Text Mining with R and quanteda

Everyone is talking about text analysis. Is it puzzling that this data source is so popular right now? Actually no. Most of our datasets rely on (hand-coded) textual information. Extracting, processing, and analyzing this oasis of information becomes increasingly relevant for a large variety of research fields. This Methods Bites Tutorial by Cosima Meyer summarizes Cornelius Puschmann’s workshop in the MZES Social Science Data Lab in January 2019 on advancing text mining with R and the package quanteda. Continue reading

Quantitative Analysis of Political Text

How can we infer actors’ positions, substantive topics, or sentiments from (political) texts? This Methods Bites Tutorial by Julian Bernauer summarizes Denise Traber’s workshop in the MZES Social Science Data Lab in Spring 2018. Using exemplary sets of political documents (election manifestos and coalition agreements), it showcases tools of QTA for a variety of analytical objectives and demonstrates how to create, process, and analyse a text corpus through a series of hands-on applications. Continue reading