https://socialsciencedatalab.mzes.uni-mannheim.de/author/denise-traber/ Recent content in Denise Traber on Methods Bites Hugo -- gohugo.io en Mon, 22 Jul 2019 00:00:00 +0100 https://socialsciencedatalab.mzes.uni-mannheim.de/article/quantitative-analysis-of-political-text/ Mon, 22 Jul 2019 00:00:00 +0100 https://socialsciencedatalab.mzes.uni-mannheim.de/article/quantitative-analysis-of-political-text/ <script src="https://socialsciencedatalab.mzes.uni-mannheim.de/rmarkdown-libs/header-attrs/header-attrs.js"></script> <p>How can we infer actors’ positions, substantive topics, or sentiments from (political) texts? This <a href="https://socialsciencedatalab.mzes.uni-mannheim.de/categories/tutorials/">Methods Bites Tutorial</a> by <a href="https://socialsciencedatalab.mzes.uni-mannheim.de/page/team/">Julian Bernauer</a> summarizes <a href="https://denisetraber.net/">Denise Traber</a>’s workshop in the <a href="https://socialsciencedatalab.mzes.uni-mannheim.de/page/events/">MZES Social Science Data Lab</a> 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.