Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter

Biddle, R Joshi, A Liu, S Paris, C Xu, G

Permalink

Recently Added

	Filename	Description	Size
	WebConf 2020.pdf	Accepted version	938.63 kB	Adobe PDF	View/Open

Copyright Clearance Process

This item is new to OPUS and is not currently available.

Full metadata record

Field	Value	Language
dc.contributor.author	Biddle, R
dc.contributor.author	Joshi, A
dc.contributor.author	Liu, S
dc.contributor.author	Paris, C
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663
dc.date.accessioned	2020-05-12T00:15:08Z
dc.date.available	2020-05-12T00:15:08Z
dc.date.issued	2020-04-20
dc.identifier.citation	Proceedings of The Web Conference 2020, 2020
dc.identifier.isbn	9781450370233
dc.identifier.uri	http://hdl.handle.net/10453/140650
dc.language	en
dc.publisher	ACM
dc.relation	http://purl.org/au-research/grants/arc/LP170100891
dc.relation.ispartof	Proceedings of The Web Conference 2020
dc.relation.ispartof	WWW '20: The Web Conference 2020
dc.relation.hasversion	Accepted manuscript version	en
dc.relation.isbasedon	10.1145/3366423.3380198
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	recently_added	*
dc.date.updated	2020-05-12T00:15:06Z
pubs.publication-status	Published

Please use this identifier to cite or link to this item: