Public Security Sentiment Analysis on Social Web: A Conceptual Framework for the Analytical Process and a Research Agenda

Victor Diogho Heuer de Carvalho and Ana Paula Cabral Seixas Costa
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Victor Diogho Heuer de Carvalho: Universidade Federal de Alagoas, Brazil
Ana Paula Cabral Seixas Costa: Universidade Federal de Pernambuco, Brazil

International Journal of Decision Support System Technology (IJDSST), 2021, vol. 13, issue 1, 1-20

Abstract: This article presents (1) the results of a literature review on social web mining and sentiment analysis on public security; (2) the idea of a framework for the analytical process involved in the literature review themes; and (3) a research agenda with a perspective for future studies, considering some elements of the analytical process. The literature review was based on searches of five databases: Scopus, IEEE Xplore, Web of Science, ScienceDirect, and Springer Link. Search strings were applied to retrieve literature material of four kinds, without defining an initial time milestone, to get the historical register of publications associated with the main thematic. After some filtering, primary and secondary findings were separated, enabling the identification of elements for the framework. Finally, the research agenda is presented, containing a set of three research artifacts related to the proposed framework.

Date: 2021
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