Anna Krisztina Kovács – Automated text analysis with no-code tools: a demonstration of Meaning Extraction Helper and AntConc by examining the 2022 Hungarian online emigration discourse

2024 Sociology BA Supervisor Renáta Németh, PhD

Anna Krisztina Kovács (LinkedIn)

The number of studies on this topic in recent years confirms the growing role of automated text analysis within empirical social research. In this thesis, two automated text analysis tools are presented that do not require programming knowledge but can answer relevant sociological research questions. The potentials and limitations of the tools are illustrated through a review of previous studies and through example research conducted in this thesis. In the analysis, I review emigration discourses in lay public opinion following the 2022 parliamentary elections. Using the Meaning Extraction Method, the main themes of the discourses are presented, and using Antconc, the context of the most frequently used words is presented.

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