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Towards interactive visualization of public discourse in time and space

Conference paper
Authors Lars Borin
Tomasz Kosiński
Published in Linköping Electronic Conference Proceedings
Volume 126
Pages 1-7
ISBN 978-91-7685-733-5
ISSN 1650-3686
Publication year 2016
Published at Department of Swedish
Pages 1-7
Language en
Links www.ep.liu.se/ecp/126/001/ecp161260...
Keywords language technology, culturomics, social media, twitter, opinion mining
Subject categories Language Technology (Computational Linguistics), Computational linguistics, Political Science, Linguistics

Abstract

We report on a proof-of-concept study where we (1) apply NLP tools for extracting political-discourse topics from a large Swedish Twitter dataset; and (2) design an interactive spatiotemporal visualization application allowing humanities and social-science scholars to explore how the tweet topics vary over space and time.

Page Manager: Webmaster|Last update: 9/11/2012
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