Towards interactive visualization of public discourse in time and space
Paper in proceeding, 2016
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.
language technology
social media
culturomics
opinion mining
Author
Lars Borin
University of Gothenburg
Tomasz Kosinski
University of Gothenburg
Linköping Electronic Conference Proceedings
1650-3740 (eISSN)
Vol. 126 1-7978-91-7685-733-5 (ISBN)
Subject Categories
Language Technology (Computational Linguistics)
General Language Studies and Linguistics
Political Science
ISBN
978-91-7685-733-5