Sentiment and behavior analysis of one controversial american individual on twitter
de Oliveira, J. Eliakin M.
Seron, Wilson [UNIFESP]
dos Santos, Rafael D. C.
Quiles, Marcos G. [UNIFESP]
TypeTrabalho apresentado em evento
Is part ofNeural Information Processing, Iconip 2016, Pt Ii
MetadataShow full item record
Social media is a convenient tool for expressing ideas and a powerful means for opinion formation. In this paper, we apply sentiment analysis and machine learning techniques to study a controversial American individual on Twitter., aiming to grasp temporal patterns of opinion changes and the geographical distribution of sentiments (positive, neutral or negative), in the American territory. Specifically, we choose the American TV presenter and candidate for the Republican party nomination, Donald J. Trump. The results acquired aim to elucidate some interesting points about the data, such as: what is the distribution of users considering a match between their sentiment and their relevance? Which clusters can we get from the temporal data of each state? How is the distribution of sentiments, before and after, the first two Republican party debates?
CitationNeural Information Processing, Iconip 2016, Pt Ii. Cham, v. 9948, p. 509-518, 2016.
SponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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