Word Clustering for Historical Newspapers Analysis

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http://hdl.handle.net/10138/312657

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Pivovarova , L , Marjanen , J & Zosa , E 2019 , Word Clustering for Historical Newspapers Analysis . in Workshop on Language Technology for Digital Historical Archives : with a Special Focus on Central-, (South-)Eastern Europe, Middle East and North Africa (LT-DHA2019) . Curran Associates Inc. , Red Hook, NY , pp. 3-10 , Workshop on Language Technology for Digital Historical Archives , Varna , Bulgaria , 05/08/2019 . https://doi.org/10.18653/v1/P17

Title: Word Clustering for Historical Newspapers Analysis
Author: Pivovarova, Lidia; Marjanen, Jani; Zosa, Elaine
Contributor: University of Helsinki, Discovery Research Group/Prof. Hannu Toivonen
University of Helsinki, Department of Cultures
University of Helsinki, Department of Computer Science
Publisher: Curran Associates Inc.
Date: 2019
Language: eng
Number of pages: 8
Belongs to series: Workshop on Language Technology for Digital Historical Archives with a Special Focus on Central-, (South-)Eastern Europe, Middle East and North Africa (LT-DHA2019)
ISBN: 978-1-7138-0298-3
URI: http://hdl.handle.net/10138/312657
Abstract: 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 termsending with -ism suffix in nineteenthcentury Finnish newspapers. We propose a two-step procedure to trace differences in word usages over time: trainingof diachronic embeddings on several timeslices and when clustering embeddings ofselected 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.
Subject: 113 Computer and information sciences
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