Conference paper Open Access

Word Clustering for Historical Newspapers Analysis

Lidia Pivovarova; Jani Marjanen; Elaine Zosa


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    <dct:title>Word Clustering for Historical Newspapers Analysis</dct:title>
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    <dct:description>&lt;p&gt;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&lt;br&gt; 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&amp;nbsp;selected words together with their neighbours&lt;br&gt; to obtain historical context. The obtained&amp;nbsp;clusters turn out to be useful for historical studies. The paper also discusses&lt;br&gt; specific difficulties related to development of historian-oriented tools.&lt;/p&gt;</dct:description>
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    <dct:title>NewsEye: A Digital Investigator for Historical Newspapers</dct:title>
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