Theorizing

keyword

• Analysis of Tale Type 0567A in the Corpus of Seto Folk Tales

  This workflow describes the aim of analysing tale type 567(A), the tale of the magic bird, in a dataset of Seto folk tales, in order to understand how and to what extent the variants of this type differ from one another. Gretta Nikolajeva was responsible for the qualitative analysis, while Aleksander Amos Nigesen was responsible for data processing in R.

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• Large-scale study of attention change trends using ngrams

  The workflow enables the analysis of mention frequencies across different categories over long time periods or with dense data, in order to reveal similarities and emerging patterns. Data is aggregated into matrices, which are used to createheatmapsthat allow large datasets to be presented visually in a clear and comparable manner. These visuals can be read both across time and across categories, enabling the comparison of different periods and topics, and combining intuitive qualitative visual analysis with quantitative methods.

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