| Texto completo | |
| Autor(es): |
Rios, Ricardo A.
;
Lopes, Caio S.
;
Sikansi, Fabio H. G.
;
Pagliosa, Paulo A.
;
de Mello, Rodrigo F.
;
IEEE
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2017 6TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS); v. N/A, p. 6-pg., 2017-01-01. |
| Resumo | |
The last decades have been characterized by the design and development of new technological tools to allow faster communication among people. In that context, the social network Twitter has reached an enormous popularity around the World as a microblogging service, where users under a given nickname can publish short messages called tweets. In particular, the social network disseminates the use of hashtags, which are part of the text, to promote topics, subjects and/or causes. In 2015, we started the development of the TsViz project to monitor and extract useful information from tweets. As main goal, we intend to model the public opinion along time and its relationship with different topics in an incremental and online manner. In that sense, we have been monitoring the Brazilian political and economic situation and the results provided evidence on how people have reacted by facing particular issues. Our results were obtained after analyzing hashtags and usernames associated with the corruption and the Brazilian political system, including the major Brazilian oil company involved, politicians, and the Chamber of Deputies and the Federal Senate of the National Congress of Brazil. (AU) | |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |