sv-COVID-19
https://doi.org/10.23695/K6FH-4F59
sv-covid-19 is a collection of Swedish news texts, scientific and
popular science articles and articles from certain blogs and social
media wuch as Flashback and Twitter, which started to be published at
the beginning of the coronavirus pandemic (early 2020). The latest
verision of the corpus consists of approximately eight million words
and 9000 articles. The corpus contains various text types and texts
with different stylistic levels. The texts have been marked up with
word class tags, morphological analysis and lemma, as well as some
structural and functional information, such as author names.
Go to data source
Opens in a new tabhttps://doi.org/10.23695/K6FH-4F59
Citation and access
Citation and access
Creator/Principal investigator(s):
Research principal:
Citation:
Language:
Administrative information
Administrative information
Topic and keywords
Topic and keywords
Metadata
Metadata
