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

twitter

culturomics

opinion mining

Författare

Lars Borin

Göteborgs universitet

Tomasz Kosinski

Göteborgs universitet

Linköping Electronic Conference Proceedings

1650-3740 (eISSN)

Vol. 126 1-7

Ämneskategorier

Språkteknologi (språkvetenskaplig databehandling)

Jämförande språkvetenskap och allmän lingvistik

Statsvetenskap

ISBN

978-91-7685-733-5