There are many reasons why researchers in the humanities and the social sciences want to combine the quantitative, data-driven and algorithmic analysis of text with qualitative inspection, hermeneutic approaches and interpretation. One important reason is to attain intersubjectivity and to warrant the validity of findings.
Indeed, there are technological solutions for “quanlification” (validation of quantitative findings through qualitative means). Such approaches, however, are mostly integrated software solutions, local or server-based, that strongly limit possibilities to develop, test and deploy new workflows. During this webinar, Andreas Blätte, professor of Public Policy and Regional Politics at the University of Duisburg-Essen, will discuss the idea and the implementation of “quanlify”, a framework currently under development in the PolMine Project, which is implemented in the statistical programming language R. The package pursues a strongly modular design that would enable R users with intermediate skills to flexibly combine elements of workflows that comprise quantitative and qualitative features into comprehensible code, handy GUIs or interactive dashboards that can be used on- and offline.
Andreas Blätte is a professor of Public Policy and Regional Politics at the University of Duisburg-Essen. He is a political scientist by training, but has developed a strong interest in data and analytical tools for using corpora in the social sciences and the humanities. He has published three R packages (polmineR, RcppCWB and cwbtools) that are available via CRAN. His prime substantial research interest is the discursive dimension of migration and integration policy.
Christoph Leonhardt works as a research associate at the Institute of Political Science of the University of Duisburg-Essen. Aside from the creation of language resources, his current research interests include the relationship between political discourse and institutional change, in particular combining perspectives of Political Science and Computational Social Science.