Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review
Text mining and related analytics emerge as a technological approach to support human activities in extracting useful knowledge through texts in several formats. From a managerial point of view, it can help organizations in planning and decision-making processes, providing information that was not p...
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Format: | Article |
Language: | English |
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Universidade Federal de Pernambuco (UFPE)
2023-07-01
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Series: | Socioeconomic Analytics |
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Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259008 |
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author | Victor Diogho Heuer de Carvalho Ana Paula Cabral Seixas Costa |
author_facet | Victor Diogho Heuer de Carvalho Ana Paula Cabral Seixas Costa |
author_sort | Victor Diogho Heuer de Carvalho |
collection | DOAJ |
description | Text mining and related analytics emerge as a technological approach to support human activities in extracting useful knowledge through texts in several formats. From a managerial point of view, it can help organizations in planning and decision-making processes, providing information that was not previously evident through textual materials produced internally or even externally. In this context, within the public/governmental scope, public security agencies are great beneficiaries of the tools associated with text mining, in several aspects, from applications in the criminal area to the collection of people's opinions and sentiments about the actions taken to promote their welfare. This article reports details of a systematic literature review focused on identifying the main areas of text mining application in public security, the most recurrent technological tools, and future research directions. The searches covered four major article bases (Scopus, Web of Science, IEEE Xplore, and ACM Digital Library), selecting 194 materials published between 2014 and the first half of 2021, among journals, conferences, and book chapters. There were several findings concerning the targets of the literature review, as presented in the results of this article. |
format | Article |
id | doaj-art-5ca3df209c514936a4630e4f7535ff51 |
institution | Kabale University |
issn | 2965-4661 |
language | English |
publishDate | 2023-07-01 |
publisher | Universidade Federal de Pernambuco (UFPE) |
record_format | Article |
series | Socioeconomic Analytics |
spelling | doaj-art-5ca3df209c514936a4630e4f7535ff512025-02-07T17:43:53ZengUniversidade Federal de Pernambuco (UFPE)Socioeconomic Analytics2965-46612023-07-011110.51359/2965-4661.2023.259008Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature reviewVictor Diogho Heuer de Carvalho0https://orcid.org/0000-0003-2369-7317Ana Paula Cabral Seixas Costa1https://orcid.org/0000-0002-2932-4784Universidade Federal de AlagoasUniversidade Federal de PernambucoText mining and related analytics emerge as a technological approach to support human activities in extracting useful knowledge through texts in several formats. From a managerial point of view, it can help organizations in planning and decision-making processes, providing information that was not previously evident through textual materials produced internally or even externally. In this context, within the public/governmental scope, public security agencies are great beneficiaries of the tools associated with text mining, in several aspects, from applications in the criminal area to the collection of people's opinions and sentiments about the actions taken to promote their welfare. This article reports details of a systematic literature review focused on identifying the main areas of text mining application in public security, the most recurrent technological tools, and future research directions. The searches covered four major article bases (Scopus, Web of Science, IEEE Xplore, and ACM Digital Library), selecting 194 materials published between 2014 and the first half of 2021, among journals, conferences, and book chapters. There were several findings concerning the targets of the literature review, as presented in the results of this article.https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259008text miningpublic security systematic literature review technologiesfuture research directions |
spellingShingle | Victor Diogho Heuer de Carvalho Ana Paula Cabral Seixas Costa Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review Socioeconomic Analytics text mining public security systematic literature review technologies future research directions |
title | Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review |
title_full | Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review |
title_fullStr | Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review |
title_full_unstemmed | Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review |
title_short | Exploring Text Mining and Analytics for Applications in Public Security: an in-depth dive into a systematic literature review |
title_sort | exploring text mining and analytics for applications in public security an in depth dive into a systematic literature review |
topic | text mining public security systematic literature review technologies future research directions |
url | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259008 |
work_keys_str_mv | AT victordioghoheuerdecarvalho exploringtextminingandanalyticsforapplicationsinpublicsecurityanindepthdiveintoasystematicliteraturereview AT anapaulacabralseixascosta exploringtextminingandanalyticsforapplicationsinpublicsecurityanindepthdiveintoasystematicliteraturereview |