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Jan 21, 2026
Kilp, Alar; Pavlova, Elena; Nurseitova, Aigerim; Mölder, Martin; Vilson, Maili; Belova-Dalton, Oksana; Pääbo, Heiko; Tadevosyan, Azniv; Kama, Epp; Vain, Kristiina; Aavik, Anna-Lisa; Holm, Mailiis Astrid; Oks, Liisa; Peterson, Betti Marie; Stepanova, Diana; Abzalova, Albina; Dubov, Vladislav; Klimenko, Klim, 2026, "National Identity Dataset (Making Identity Count) for Estonia, 1990–2020", https://doi.org/10.23673/RE-567, DATADOI, V1
This dataset was compiled within the research project PRG1052 “National Identity and Estonian–Russian Relations: a Longitudinal Study of Elite and Mass Discourses” (2021–2025) and is a longitudinal dataset on national identity created using the Making Identity Count methodology. The dataset is divided into two language-specific subsets—Estonian-lan...
Comma Separated Values - 6.8 MB - MD5: ac3930303241b54044f7d13b9bf74f71
Estonian language data from Estonia.
Comma Separated Values - 8.7 MB - MD5: 1a37bdbcfb89e1104a26847901096273
Russian language data from Estonia.
Comma Separated Values - 3.4 MB - MD5: 835a0ba6d8cbbd5a9850aea5d36efa5f
Data from Russia 2020.
HTML - 804 B - MD5: c1efe8e24d7281448e873be30ea326ff
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
Plain Text - 7.1 KB - MD5: 1715460206fb80c38560b947e68cbe4f
README file for the dataset, including the codebook for the data files.
Mar 24, 2025
Mölder, Martin; Mollona, Edoardo; Diana, Alessio, 2025, "Topic Models from GAFAM Discourse", https://doi.org/10.23673/RE-506, DATADOI, V1
This dataset contains the results of an LDA topic model with 200 topics that was applied to a combined corpus of newspaper articles about GAFAM (Google, Amazon, Facebook, Apple, Microsoft) companies (113 123 texts). The objective of this analysis was to analyze what discourses arise in public in relation to GAFAM companies and how the company disco...
Comma Separated Values - 108.0 MB - MD5: 2cba99e9ce28a806238ee16ee2d87c6e
Metadata about all the documents that were used for the topic modeling analysis.
Comma Separated Values - 293.1 MB - MD5: 4819c30dc7b835b9091efa4777b2f78b
A file were each row corresponds to a document in the corpus that was used for the analysis, each column indicates a topic that the model determined and the cell values indicate the estimated proportion of the topic in that particular document.
HTML - 907 B - MD5: c07b6daef3dbee864bf87e6aa836cde2
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
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