Uma proposta de levantamento de estatísticas relacionadas à segurança por meio do processamento automatizado de microtextos
Abstract
Nowadays, social networks are an inexhaustible source of information, true or false, but always relevant. In a disorganized way, many people use this media to propagate information and opinions that can be used by the government to map various problems that are often not presented in an official way. This work has the objetice of presenting the proposal of a methodology for automatic extraction of security events reported on social networks, such as armed conflicts, thefts, robberies, among others, in the form of microtext. We hope that the information from this extraction can help decision support systems in making good public actions.
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Bendler, J., Brandt, T., Wagner, S., and Neumann, D. (2014). Investigating crime-totwitter relationships in urban environments - facilitating a virtual neigh-borhood watch. In Proceedings of the European Conference on Information Systems, Israel. ECIS.
Dasgupta, T., Naskar, A., Saha, R., and Dey, L. (2017). Crimeprofiler: Crime information extraction and visualization from news media. In Proceedings of the International Conference onWeb Intelligence, number 9 in WI-17, pages 549–549, New York. ACM.
Iqbal, R., Murad, M. A. A., Mustapha, A., Panahy, P. H. S., and Khanahmadliravi, N. (2013). An experimental study of classification algorithms for crime prediction. Indian Journal of Science and Technology, 6. 3 mar de 2013.
Leroy, G. A. and Iriberri, A. (2007). Natural language processing and e-government: Extracting reusable crime report information. In International Conference on Information Reuse and Integration, pages 221–226, Las Vegas, Nevada, USA. IEEE.
Liddy, E. D. (2001). Natural language processing, in encyclopedia of library and information science. In RIAO, number 4, pages 441–441, New York. Inc Marcel Decker.
Machado, A. (2010). Minerac¸ ˜ao de texto em redes sociais aplicada `a educac¸ ˜ao a distˆancia. Minerac¸ ˜ao de dados, 530. 07 out. de 2018.
Pinheiro, V., Furtado, V., Pequeno, T., and Nogueira, D. (2010). Natural language processing based on semantic inferentialism for extracting crime information from text. In International Conference on Intelligence and Security Informatics, Canada. IEEE.
Published
2019-10-03
How to Cite
FERREIRA DA SILVA, Flavio; DUARTE, Julio Cesar.
Uma proposta de levantamento de estatísticas relacionadas à segurança por meio do processamento automatizado de microtextos. In: RESEARCH DESIGN - BRAZILIAN SYMPOSIUM ON COLLABORATIVE SYSTEMS (SBSC), 15. , 2019, Rio de Janeiro.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
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p. 23-28.
