Published May 14, 2021
| Version v1
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Topic Modelling Discourse Dynamics in Historical Newspapers
Authors/Creators
- 1. University of Helsinki
- 2. University of Gothenburg
Description
This paper addresses methodological issues in diachronic data analysis for historical research. We apply two families of topic models (LDA and DTM) on a relatively large set of historical newspapers, with the aim of capturing and understanding discourse dynamics. Our case study focuses on newspapers and periodicals published in Finland between 1854 and 1917, but our method can easily be transposed to any diachronic data.
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marjanen__zosa__hengchen__pivovarova__tolonen_topic_modelling_discourse_dynamics_in_historical_newspapers.pdf
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