Sentiment-Based Influence Detection on Twitter
Resumo
Nessa dissertação, apresenta-se um método para identificar usuários influentes para tópicos no Twitter, que se baseia em aspectos comportamentais do usuário: sua posição em redes de conversação, sua polaridade e o conteúdo de seus tweets. Nossa avaliação experimental demonstra êxito em identificar os usuários mais influentes em diferentes bases de dados.Referências
C. Bigonha, T. Cardoso, M. Moro, M. Gonçalves, and V. Almeida. Detecting evangelists and detractors on twitter. In Simpósio Brasileiro de Sistemas Multimídia e Web, 2010.
C. Bigonha, T. Cardoso, M. Moro, M. Gonçalves, and V. Almeida. Sentiment-based influence detection on twitter. Journal of the Brazilian Computer Society, 18(3):169–183, 2012.
J. Brown, A. J. Broderick, and N. Lee. Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3):2–20, 2007.
E. Katz, P. Lazarsfeld, and E. Roper. Personal influence: the part played by people in the flow of mass communications. Transaction Publishers, 1955.
E. S. Kwon and Y. Sung. Follow Me! Global Marketers’ Twitter Use. Journal of Interactive Advertising, 12:4–16, 2011.
J. Lee, D. Park, and I. Han. The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 2008.
S. Ressler. Perspectives on electronic publishing: standards, solutions, and more. 1993.
C. Bigonha, T. Cardoso, M. Moro, M. Gonçalves, and V. Almeida. Sentiment-based influence detection on twitter. Journal of the Brazilian Computer Society, 18(3):169–183, 2012.
J. Brown, A. J. Broderick, and N. Lee. Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3):2–20, 2007.
E. Katz, P. Lazarsfeld, and E. Roper. Personal influence: the part played by people in the flow of mass communications. Transaction Publishers, 1955.
E. S. Kwon and Y. Sung. Follow Me! Global Marketers’ Twitter Use. Journal of Interactive Advertising, 12:4–16, 2011.
J. Lee, D. Park, and I. Han. The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 2008.
S. Ressler. Perspectives on electronic publishing: standards, solutions, and more. 1993.
Publicado
23/07/2013
Como Citar
BIGONHA, Carolina; MORO, Mirella M.; GONÇALVES, Marcos A..
Sentiment-Based Influence Detection on Twitter. In: CONCURSO DE TESES E DISSERTAÇÕES (CTD), 26. , 2013, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 89-94.
ISSN 2763-8820.
