Tekst
data media type
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Literary Network of the National Awakening Based on the Correspondence of Koidula and Kreutzwald
This workflow was created to analyse the correspondence between Friedrich Reinhold Kreutzwald and Lydia Koidula from the years 1867–1873 and to map which people appear most frequently in the literary network of the National Awakening on the basis of these letters. The correspondence is one of the most important sources in Estonian literary history, reflecting the development of the national movement, cultural contacts, and relationships between authors. The workflow makes it possible to automatically identify personal names in a text corpus, clean and standardise name forms, and...
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Past Lives in Estonian Cultural Data – Developing Interactive Exhibits with 19th Century Parish Court Records and Bibliographical Data
The workflow addresses how 19th-century Estonian parish court records and bibliographical data can be transformed into interactive digital exhibits for the general public. Although these datasets contain rich historical and cultural elements, they are not immediately accessible to non-specialist audiences in their original structured forms. The workflow therefore explores how cultural heritage data can be cleaned, extracted, linked, and redesigned as interactive applications....
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Analysis of the Distribution of Estonian Runo Songs Related to Grains
We are working with the Estonian runosongs' database, which contains runosong texts and the metadata associated with them. The aim of the project is to study the geographical distribution of work songs containing references to cereals and to analyse which cereals are mentioned most frequently in different regions. Through the analysis, we aim to identify possible regional patterns and examine how and whether runosongs might reflect historical agriculture.
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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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Tunes of the World map: Exploring Estonian and Ukrainian Folk Song Heritage
The project aims to create an interactive digital map for exploring Estonian and Ukrainian folk-song traditions through geographical, thematic, emotional, and structural perspectives. Developed during the HUM Hackathon 2026. The current prototype focuses primarily on Ukrainian folk-song materials, while future versions will integrate Estonian datasets and enable cross-cultural comparison. The workflow combines digital humanities methods, natural language processing, cultural heritage data management, and interactive visualisation. Two large folk-song corpora 85,550 Estonian songs and 56,726 Ukrainian songs were prepared, harmonised, analysed, and transformed into a searchable map interface. Users can navigate from ethnographic regions to individual singers and complete song texts, explore emotional and thematic patterns, and investigate the geographical distribution of oral traditions.