Towards interactive visualization of public discourse in time and space
Paper i 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
Författare
Lars Borin
Göteborgs universitet
Tomasz Kosinski
Göteborgs universitet
Linköping Electronic Conference Proceedings
1650-3740 (eISSN)
Vol. 126 1-7Ämneskategorier
Språkteknologi (språkvetenskaplig databehandling)
Jämförande språkvetenskap och allmän lingvistik
Statsvetenskap
ISBN
978-91-7685-733-5