Welfare State Analytics (WeStAc)
Text Mining and Modeling Swedish Politics, Media & Culture, 1945-1989
2019–2023
The project will digitise literature, curate already digitised collections,
and perform research via probabilistic methods and text mining models.
WeStAc will both digitise and curate three massive textual datasets — in all,
Big Data of almost four billion tokens — from the domains of Swedish politics,
news media and literary culture during the second half of the 20th century.
WeStAc will establish a scholarly ecosystem of digitisation,
curation and research with a twofold objective: (A.) to develop digital curation
work, including the preparation of massive datasets for research at the library,
and (B.) to develop digital history scholarship and perform DH-inspired textual research.
People @ Humlab
- Roger Mähler
- Fredrik Norén
- Andreas Marklund
- Tomas Skotare
- Johan Malmstedt
In cooperation with
- Pelle Snickars
- Johan Jarlbrink
- Alexandra Borg
- Erik Edoff
- Måns Magnusson
- Väinö Yrjänäinen
Financier
The dataset of "Politics" contains already digitised Swedish Governmental Reports (SOU) and material from the Swedish Parliament, "Media" contains two digitised Swedish newspapers, Aftonbladet and Dagens Nyheter, and "Culture" — which will be digitised — contains a literary journal, Bonniers Litterära magasin and all Swedish novels from 1945 to 1989.
