Collective memory in Poland: A reflection in street names
|Collective memory in Poland: A reflection in street names|
|Author(s)||Nielek R., Wawer A., Wierzbicki A.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||collective memory, street names, Wikipedia (Extra: Data mining, Collective memory, Data-sources, Political orientation, Statistical techniques, Text mining, Textual description, Wikipedia, Wikipedia articles, Information science)|
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Collective memory in Poland: A reflection in street names is a 2014 conference paper written in English by Nielek R., Wawer A., Wierzbicki A. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Our article starts with an observation that street names fall into two general types: generic and historically inspired. We analyse street names distributions (of the second type) as a window to nation-level collective memory in Poland. The process of selecting street names is determined socially, as the selections reflect the symbols considered important to the nation-level society, but has strong historical motivations and determinants. In the article, we seek for these relationships in the available data sources. We use Wikipedia articles to match street names with their textual descriptions and assign them to the time points. We then apply selected text mining and statistical techniques to reach quantitative conclusions. We also present a case study: the geographical distribution of two particular street names in Poland to demonstrate the binding between history and political orientation of regions.
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