#Worldcup2014 on twitter
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2015 |
| Outros Autores: | , , , |
| Tipo de documento: | Artigo de conferência |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da UNESP |
| Texto Completo: | http://dx.doi.org/10.1007/978-3-319-21404-7_33 http://hdl.handle.net/11449/168179 |
Resumo: | A 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. |
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#Worldcup2014 on twitterA 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.Institute of Science and Technology Federal University of São Paulo (UNIFESP)São Paulo State University (UNESP)São Paulo State University (UNESP)Universidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Seron, WilsonZorzal, EzequielQuiles, Marcos G.Basgalupp, Márcio P.Breve, Fabricio A. [UNESP]2018-12-11T16:40:06Z2018-12-11T16:40:06Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject447-458http://dx.doi.org/10.1007/978-3-319-21404-7_33Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9155, p. 447-458.1611-33490302-9743http://hdl.handle.net/11449/16817910.1007/978-3-319-21404-7_332-s2.0-84949035175Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)0,295info:eu-repo/semantics/openAccess2021-10-23T21:44:28Zoai:repositorio.unesp.br:11449/168179Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:56:31.701228Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
| dc.title.none.fl_str_mv |
#Worldcup2014 on twitter |
| title |
#Worldcup2014 on twitter |
| spellingShingle |
#Worldcup2014 on twitter Seron, Wilson |
| title_short |
#Worldcup2014 on twitter |
| title_full |
#Worldcup2014 on twitter |
| title_fullStr |
#Worldcup2014 on twitter |
| title_full_unstemmed |
#Worldcup2014 on twitter |
| title_sort |
#Worldcup2014 on twitter |
| author |
Seron, Wilson |
| author_facet |
Seron, Wilson Zorzal, Ezequiel Quiles, Marcos G. Basgalupp, Márcio P. Breve, Fabricio A. [UNESP] |
| author_role |
author |
| author2 |
Zorzal, Ezequiel Quiles, Marcos G. Basgalupp, Márcio P. Breve, Fabricio A. [UNESP] |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) |
| dc.contributor.author.fl_str_mv |
Seron, Wilson Zorzal, Ezequiel Quiles, Marcos G. Basgalupp, Márcio P. Breve, Fabricio A. [UNESP] |
| description |
A 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. |
| publishDate |
2015 |
| dc.date.none.fl_str_mv |
2015-01-01 2018-12-11T16:40:06Z 2018-12-11T16:40:06Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/conferenceObject |
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conferenceObject |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-319-21404-7_33 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9155, p. 447-458. 1611-3349 0302-9743 http://hdl.handle.net/11449/168179 10.1007/978-3-319-21404-7_33 2-s2.0-84949035175 |
| url |
http://dx.doi.org/10.1007/978-3-319-21404-7_33 http://hdl.handle.net/11449/168179 |
| identifier_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9155, p. 447-458. 1611-3349 0302-9743 10.1007/978-3-319-21404-7_33 2-s2.0-84949035175 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 0,295 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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447-458 |
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Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
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Universidade Estadual Paulista (UNESP) |
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UNESP |
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UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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1808129375831326720 |