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This paper presents the "Leipzig Corpus Miner", a technical infrastructurefor supporting qualitative and quantitative content analysis. Theinfrastructure aims at the integration of 'close reading' procedures onindividual documents with procedures of 'distant reading', e.g. lexicalcharacteristics of large document collections. Therefore information retrievalsystems, lexicometric statistics and machine learning procedures are combinedin a coherent framework which enables qualitative data analysts to make use ofstate-of-the-art Natural Language Processing techniques on very large documentcollections. Applicability of the framework ranges from social sciences tomedia studies and market research. As an example we introduce the usage of theframework in a political science study on post-democracy and neoliberalism.

Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis