Militia Information System: Proposal for an Analytical Framework for Text Analysis in Reporting Data
Abstract
This article presents an analytical framework for the analysis of texts in complaints in the Hotline database (Disque Denuncia), providing an information system called SIM - Militia Information System. Through this, information was sought and it was possible to make discoveries about personas and entities involved with the Militias in the State of Rio de Janeiro through the case study applied in the period from 2012 to 2019 in complaints.
Keywords:
Hotline Database, Militia Information System, Text Analysis
References
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Chaudhuri et al 2011, An Overview of Business Intelligence Technology. ACM, N. 8. 2011. Vol. 54, 88-98.
Chen, H. Chung, W. Xu, J.J. Qin, Gwy, Chau, M. Crime data Mining: A general framework and some examples. IEEE Computer Society (2004) 50-56.
Chen, X., Cho, Y., Jang, S., Crime prediction using Twitter sentiment and weather. SIEDS Systems and Information Engineering Design Symposium (2015).
Furtado, B. A., Sakowski, P. A. M. & Tóvolli, M. H. Modelagem de Sistemas Complexos para Políticas Públicas. IPEA, 2015. Disponível em: [http://www.ipea.gov.br/portal/index.php?option=com_content&id=25860&Itemid= 383]. Acessado em 14/09/2019.
Hull, D.A. Querying Across Languages: A Dictionary-Based Approach to Multilingual Information Retrieval David A. Hull Gregory Grefenstette Rank Xerox Research Centre 6 chemin de Maupertuis, 38240 Meylan France. disponível em: [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.66.5385&rep=rep1&type =pdf]. Acessado em 14/09/2019.
Loeck, J.F., Magnus, T.M, Montenegro, D., Mattos, E.V., Gestão da Informação e governos locais: experiências do observatório de Segurança Pública de canoas (RS) e novas possibilidades, Revista Brasileira de Segurança Pública, São Paulo, v. 10. n.2, 88-103Ago/Set 2016. Disponível em: [ http://www.forumseguranca.org.br/publicacoes/gestao-da-informacao-e-governos- locais-experiencias-do- observatorio-de-seguranca-publica-de-canoas-rs-e-novas- possibilidades/] Acessado em 14/09/2019.
Pássaro, S., Klein, E. & Loper, E. Natural Language Processing with Python: analyzing text with the natural language toolkit,2009. Disponível em: https://books.google.com.br/books?hl=en&lr=&id=KGIbfiiP1i4C&oi=fnd&pg=PR5 &dq=+Natural+language+proc essing+with+Python:+analyzing+text+with+the+natural+language+toolkit&ots=Y3 Alv8MGH3&sig=qVmMsCwsIs o9UO5XM22uttVYz_s#v=onepage&q=Natural%20language%20processing%20wit h%20Python%3A%20analyzin g%20text%20with%20the%20natural%20language%20toolkit&f=false]. Acessado em 14/09/2019.
Storani, P. 2019. Disponível em: [https://www.bol.uol.com.br/listas/o-que-e- milicia.htm], acessado em 08 de setembro de 2019.
Published
2020-06-30
How to Cite
BRITO, Walkir; MOTTA, Claudia ; ROBERTO FILHO, Paulo ; BORGES, Zeca .
Militia Information System: Proposal for an Analytical Framework for Text Analysis in Reporting Data. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 47. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 174-185.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2020.11327.
