Avaliação de Algoritmos de Análise de Sentimentos em Tweets no Domínio da Copa do Mundo FIFA 2018
Abstract
Social networks have generated a large amount of data on theWeb, so various methods and techniques have been proposed in the form of applications for monitoring and analysis of repercussion of brands, products relevant events such as the FIFA World Cup. This paper analyzes appropriate classification methods for the FIFA World Cup 2018 event domain on Twitter. It was collected more than 1 million of tweets, 4000 were labeled manually by a human and 400 thousand were classified. The results show that Opinion Finder algorithm had an almost perfect fit with kappa coeficient of 0,95 for the domain of the event.
References
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Benevenuto, F., Ribeiro, F., and Araújo, M. (2015). Métodos para análise de sentimentos em mídias sociais. In Brazilian Symposium on Multimedia and the Web (Webmedia), Manaus, Brasil.
FIFA. Site oficial do evento copa do mundo fifa 2018. https://www.fifa.com/worldcup. Acesso em junho de 2018.
Gomes, H. J. C. (2013). Análise de sentimentos na classificação de notícias. In Proceedings of the 8th Iberian Conference on Information Systems and Technologies (CISTI), Lisboa, Portugal.
Kim, J. W., Kim, D., Keegan, B., Kim, J., Kim, S., and Oh, A. (2015). Social media dynamics of global co-presence during the 2014 fifa world cup. In CHI’15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, Republic of Korea. ACM New York, NY, USA c 2015.
Landis, J. and Koch, G. (1977). An application of hierarchical kappa type statistics in the assessment of majority agreement among multiple observers. Biometrics, 33(2):363–374.
Rezende, S. O. (2005). Mineração de dados. In Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), São Leopoldo, Brasil.
Tan, A. H. (1999). Text mining: The state of the art and the challenges. In Proceedings of the PAKDD Workshop on Knowledge Disocovery from Advanced Databases, Beijing, China.
Published
2018-10-22
How to Cite
FELICIANO, Patricia; FARAH, Paulo.
Avaliação de Algoritmos de Análise de Sentimentos em Tweets no Domínio da Copa do Mundo FIFA 2018. In: REGIONAL SCHOOL OF SOFTWARE ENGINEERING (ERES), 2. , 2018, Dois Vizinhos/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 73-80.
