
This contribution summarizes the lessons learned from the organization of a joint conference on text analytics research by the Business, Economic, and Related Data (BERD@NFDI) and Text+ consortia within the National Research Data Infrastructure (NFDI) in Germany. The collaboration aimed to identify common ground and foster interdisciplinary dialogue between scholars in the humanities and in the business domain. The lessons learned include the importance of presenting research questions using textual data to establish common ground, similarities in methodology for processing textual data between the consortia, similarities in research data management, and the need for regular interconsortial discussions on textual analysis methods and data. The collaboration proved valuable for interdisciplinary dialogue within the NFDI, and further collaboration between the consortia is planned.
Machine Learning, NFDI, Humanities, Text analytics, FOS: Humanities, CoRDI 2023, Business Research, Economic Data, Business Data, Text
Machine Learning, NFDI, Humanities, Text analytics, FOS: Humanities, CoRDI 2023, Business Research, Economic Data, Business Data, Text
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