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GESIS-Workshop Going Cross-Lingual: Computational Methods for Multilingual Text Analysis

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Dozent(en): Hauke Licht, Fabienne Lind


The wide-reaching and still growing digitalization of communication in the form of text data raises demands for international, cross-lingual comparative research. For example, large, multilingual text collections of political parties' campaign materials or politicians' parliamentary speeches invite cross-country comparative analysis of political behavior. Likewise, the availability of large collections of national news outlets' coverage about internationally highly relevant topics like economic inequality, climate change, or immigration allow the comparative analysis of various national perspectives. 

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