1 to 10 of 10 Results
Mar 31, 2026
Steensen, Steen, 2026, "Norwegian NewsTopics (2023): Topic Modeling of Norwegian News", https://doi.org/10.18710/473JEF, DataverseNO, V2
NorwegianNewsTopics is a tabular dataset containing metadata and topic distribution of online news articles published in 2023 by 22 Norwegian news outlets. Each row represents one article and includes publication metadata and topic model outputs derived from a 28-topic Latent Dirichlet Allocation (LDA) model. The dataset was constructed to analyse... |
Plain Text - 3.7 KB -
MD5: aec0d72354e523415c6062057d02f97f
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Comma Separated Values - 3.8 KB -
MD5: 3e02c4a6942b36a5ee36a3cc66b676cd
Definitions of topic variables in NorwegianNewsTopics.csv |
Adobe PDF - 250.7 KB -
MD5: 3655d0aa4459cc124a1c17b6d72d43d6
Detailed methodological description of LDA topic modeling and social media matching |
Comma Separated Values - 156.9 MB -
MD5: 794a7f1151fa43cce9b79aa1a19ffb5f
Metadata and topic distribution of 224905 news articles published by 22 Norwegian newsrooms in 2023 |
Comma Separated Values - 1.5 KB -
MD5: 9d86c830c8f28d18cee329ca4561a3c0
Definitions of variables in NorwegianNewsTopics.csv |
Feb 10, 2025
Andresen, Herbjørn, 2025, "Amalie Wergelands application for remission of fine", https://doi.org/10.18710/FPFU7G, DataverseNO, V1
Scanned folder from the collections of The National Archives in Norway. Archival reference AV/RA-S-1037/D/Da/L0126: Journalsaker A 2 nr. 1201-1350. (Justisdepartementet, Kriminalkontor). Folder no. 1846/1279. The case file contains an application for remission of a fine. The applicant was Amalie Wergeland, widow of Henrik Wergeland. The fine in que... |
Feb 10, 2025 -
Amalie Wergelands application for remission of fine
Plain Text - 3.0 KB -
MD5: 2f3ae0667f2d792590fdaaee573ac8d9
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Feb 10, 2025 -
Amalie Wergelands application for remission of fine
Adobe PDF - 3.6 MB -
MD5: c886667b554fd3d69f82c04d16129090
Scanned content of folder (Handwritten Norwegian text) |
Feb 10, 2025 -
Amalie Wergelands application for remission of fine
Adobe PDF - 99.2 KB -
MD5: 8a36910c6863a01b76ca570b84cd0504
Transcribed, typed text of folder (Norwegian) |
