10.5281/zenodo.3402940
https://zenodo.org/records/3402940
oai:zenodo.org:3402940
Lidia Pivovarova
Lidia Pivovarova
University of Helsinki
Jani Marjanen
Jani Marjanen
University of Helsinki
Elaine Zosa
Elaine Zosa
University of Helsinki
Word Clustering for Historical Newspapers Analysis
Zenodo
2019
2019-09-12
eng
10.5281/zenodo.3402939
https://zenodo.org/communities/newseye
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
This paper is a part of a collaboration between computer scientists and historians aimed at development of novel methods for historical newspapers analysis. We present a case study of ideological terms ending with -ism suffix in nineteenthcentury
Finnish newspapers. We propose a two-step procedure to trace differences in word usages over time: training of diachronic embeddings on several time slices and when clustering embeddings of selected words together with their neighbours
to obtain historical context. The obtained clusters turn out to be useful for historical studies. The paper also discusses
specific difficulties related to development of historian-oriented tools.
European Commission
10.13039/501100000780
770299
NewsEye: A Digital Investigator for Historical Newspapers