Automatische inhoudsanalyse van Nederlandstalige data Een overzicht en onderzoeksagenda

Open Access
Authors
Publication date 2018
Journal Tijdschrift voor Communicatiewetenschap
Volume | Issue number 46 | 1
Pages (from-to) 5-24
Organisations
  • Faculty of Social and Behavioural Sciences (FMG)
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
Abstract
While automated methods of content analysis are increasingly popular in today’s communication research, these methods have hardly been adopted by communication scholars studying texts in Dutch. This essay offers an overview of the possibilities and current limitations of automated text analysis approaches in the context of the Dutch language. Particularly in dictionary-based approaches, research is far less prolific as research on the English language. We divide the most common types of content-analytical research questions into three categories: 1) research problems for which automated methods ought to be used, 2) research problems for which automated methods could be used, and 3) research problems for which automated methods (currently) cannot be used. Finally, we give suggestions for the advancement of automated text analysis approaches for Dutch texts.
Document type Article
Language Dutch
Published at https://www.tijdschriftvoorcommunicatiewetenschap.nl/inhoud/tijdschrift_artikel/CW-46-1-2/Automatische-inhoudsanalyse-van-Nederlandstalige-data
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