Dynamiska effekter i historisk textdata
Title: Dynamiska effekter i historisk textdata
SNIC Project: SNIC 2022/22-1078
Project Type: SNIC Small Compute
Principal Investigator: Elis Carlberg Larsson <elis.carlberg.larsson@liu.se>
Affiliation: Linköpings universitet
Duration: 2022-11-07 – 2023-06-01
Classification: 50401


Using natural language processing techniques, I will analyze newspaper archives to assess how the discourse around sex and sexual relations, has changed in Sweden from the years 1900 to 2020. In doing so we will map and identify how a shared understanding of sex, sexuality, and relationships has changed over time in Swede by tracking how epochs of normative views regarding sex, sexuality, and relationships have emerged and disappeared. The focus of this sub-project is to assess how changing the meaning of words might improve the modeling of historical discursive changes.