Create an Actor-Network from Statens offentliga utredningar using SweNER
Jupyter Notebook Python
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.gitignore
1933_22.gexf
1978_23.gexf
1979_69.gexf
1989_73.gexf
README.md
SOU 1933_22 - Förslag till lag om sterilisering av vissa sinnessjuka, sinnesslöa eller av annan rubbning av själsverksamheten lidande personer.txt
SOU 1978_23 - Växtförädling.txt
SOU 1979_69 - Nya vyer.txt
SOU 1989_73 - TV-politiken.txt
SOUNER.ipynb
female250.tsv
gendercounter.py
male250.tsv
merge.gexf
merged.gephi
merged.pdf
merged.png
merged.svg

README.md

SOUNER

Create an Actor-Network from Statens offentliga utredningar using SweNER

This Jupyter Notebook makes use of SweNER, which can be downloaded from https://spraakbanken.gu.se/eng/personal/dimitrios#research

If used, the following article should be credited for the Named Entity Recognition:

Kokkinakis D., Niemi J., Hardwick S., Lindén K. and Borin L. (2014). HFST-SweNER. A New NER Resource for Swedish. Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC). Reykjavik, Iceland (pdf).

The notebook has been tested on Ubuntu Linux only.