Publication:
A city-wide examination of fine-grained human emotions through social media analysis.

Simple item page
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-0873-1743
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid1155970a-352e-43e6-aecb-a6ee78703b0b
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.contributor.authorSiriaraya, Panote
dc.contributor.authorZhang, Yihong
dc.contributor.authorKawai, Yukiko
dc.contributor.authorJeszenszky, Péter
dc.contributor.authorJatowt, Adam
dc.date.accessioned2024-10-15T09:41:52Z
dc.date.available2024-10-15T09:41:52Z
dc.date.issued2023
dc.description.abstractThe proliferation of Social Media and Open Web data has provided researchers with a unique opportunity to better understand human behavior at different levels. In this paper, we show how data from Open Street Map and Twitter could be analyzed and used to portray detailed Human Emotions at a city wide level in two cities, San Francisco and London. Neural Network classifiers for fine-grained emotions were developed, tested and used to detect emotions from tweets in the two cites. The detected emotions were then matched to key locations extracted from Open Street Map. Through an analysis of the resulting data set, we highlight the effect different days, locations and POI neighborhoods have on the expression of human emotions in the cities.
dc.description.sponsorshipFakultäres Zentrum für Artifizielle Intelligenz in Medizin (CAIM)
dc.identifier.doi10.48350/178286
dc.identifier.pmid36724143
dc.identifier.publisherDOI10.1371/journal.pone.0279749
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/121236
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofPLoS ONE
dc.relation.issn1932-6203
dc.relation.organizationDCD5A442BCC8E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C2CAE17DE0405C82790C4DE2
dc.subject.ddc100 - Philosophy
dc.subject.ddc800 - Literature, rhetoric & criticism
dc.subject.ddc400 - Language
dc.subject.ddc400 - Language::430 - German & related languages
dc.subject.ddc900 - History
dc.subject.ddc300 - Social sciences, sociology & anthropology
dc.titleA city-wide examination of fine-grained human emotions through social media analysis.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.issue2
oaire.citation.startPagee0279749
oaire.citation.volume18
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationFakultäres Zentrum für Artifizielle Intelligenz in Medizin (CAIM)
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation2#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation2#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation2#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation2#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation2#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation3#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation3#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation3#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation3#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation3#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation4#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation4#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation4#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation4#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation4#PLACEHOLDER_PARENT_METADATA_VALUE#
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.date.licenseChanged2023-02-07 03:54:37
unibe.description.ispublishedpub
unibe.eprints.legacyId178286
unibe.journal.abbrevTitlePLOS ONE
unibe.refereedTRUE
unibe.subtype.articlejournal

Files

Original bundle
Now showing 1 - 1 of 1
Name:
journal.pone.0279749.pdf
Size:
2.63 MB
Format:
Adobe Portable Document Format
File Type:
text
License:
https://creativecommons.org/licenses/by/4.0
Content:
published
Download

Collections

Publications