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	title        = {Towards interactive visualization of public discourse in time and space},
	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.},
	booktitle    = {Linköping Electronic Conference Proceedings},
	author       = {Borin, Lars and Kosiński, Tomasz},
	year         = {2016},
	volume       = {126},
	ISBN         = {978-91-7685-733-5},
	pages        = {1--7},