Content Analysis between Quality and Quantity
Social science research using Text Mining tools requiresdue to the lack of a canonical heuristics in the digital humanitiesa blended reading approach. Integrating quantitative and qualitative analyses of complex textual data progressively, blended reading brings up various requirements for the implementation of Text Mining infrastructures. The article presents the Leipzig Corpus Miner (LCM), developed in the joint research project ePolPost-Democracy and Neoliberalism and responding to social science research requirements. The functionalities offered by the LCM may serve as best practice of processing data in accordance with blended reading.
text mining blended reading qualitative analysis mixed methods corpus linguistics