Publicação:
#Worldcup2014 on twitter

dc.contributor.authorSeron, Wilson
dc.contributor.authorZorzal, Ezequiel
dc.contributor.authorQuiles, Marcos G.
dc.contributor.authorBasgalupp, Márcio P.
dc.contributor.authorBreve, Fabricio A. [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:40:06Z
dc.date.available2018-12-11T16:40:06Z
dc.date.issued2015-01-01
dc.description.abstractA microblogging, such as the Twitter, is a Social Networking Service that allows the publication of short messages. Currently, Twitter has more than 270 million monthly active users, and it is widely used to discuss the most variety of topics. Due to the large amount of information circulating on Twitter, and the facility to publish and read messages through the web or mobile devices, Twitter has attracted the interest of the general public, companies, media etc. By analyzing the Twitter’s stream of data, one can identify trends, events, or even the feelings of its users. Here, we introduce a dataset of tweets about the World Cup 2014, collected from January to August of 2014; present some descriptive statistics about the data; and, finally, we show a sentiment analysis study about the Brazilian population regarding to the Brazilian national team.en
dc.description.affiliationInstitute of Science and Technology Federal University of São Paulo (UNIFESP)
dc.description.affiliationSão Paulo State University (UNESP)
dc.description.affiliationUnespSão Paulo State University (UNESP)
dc.format.extent447-458
dc.identifierhttp://dx.doi.org/10.1007/978-3-319-21404-7_33
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9155, p. 447-458.
dc.identifier.doi10.1007/978-3-319-21404-7_33
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-84949035175
dc.identifier.urihttp://hdl.handle.net/11449/168179
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofsjr0,295
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.title#Worldcup2014 on twitteren
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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