[HTML][HTML] Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions
The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …
has increased over the years. The availability of social media platforms for communication …
A systematic review of using machine learning and natural language processing in smart policing
Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …
enhance policing activities in terms of crime prevention or crime reduction. Artificial …
An empirical analysis of machine learning algorithms for crime prediction using stacked generalization: an ensemble approach
Ensemble learning method is a collaborative decision-making mechanism that implements
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
Comparison of machine learning algorithms for predicting crime hotspots
Crime prediction is of great significance to the formulation of policing strategies and the
implementation of crime prevention and control. Machine learning is the current mainstream …
implementation of crime prevention and control. Machine learning is the current mainstream …
[PDF][PDF] Correlating crime and social media: using semantic sentiment analysis
R Mahajan, V Mansotra - International Journal of …, 2021 - pdfs.semanticscholar.org
Crimes occur all over the world and with regularly changing criminal strategies, law
enforcement agencies need to manage them adequately and productively. If these agencies …
enforcement agencies need to manage them adequately and productively. If these agencies …
[PDF][PDF] Experimental analysis of large language models in crime classification and prediction
P Sarzaeim, QH Mahmoud… - Proceedings of the …, 2024 - assets.pubpub.org
Increasing crime rates and evolving challenges in law enforcement have raised the need for
innovative solutions, leading to the emergence of smart policing. This paradigm shift …
innovative solutions, leading to the emergence of smart policing. This paradigm shift …
[PDF][PDF] COVID-19 Pandemic Data Predict the Stock Market.
A Almehmadi - Computer Systems Science & Engineering, 2021 - cdn.techscience.cn
Unlike the 2007–2008 market crash, which was caused by a banking failure and led to an
economic recession, the 1918 influenza pandemic triggered a worldwide financial …
economic recession, the 1918 influenza pandemic triggered a worldwide financial …
A framework for user characterization based on tweets using machine learning algorithms
Twitter having more than three billion users is one of the most commercial and popular
social networking sites. Twitter permits its users to post short messages and update their …
social networking sites. Twitter permits its users to post short messages and update their …
[PDF][PDF] Exploring Text Mining and Analytics for Applications in Public Security: An in-depth dive into a systematic literature review
VDH De Carvalho, A Costa - Socioecon. Anal, 2023 - periodicos.ufpe.br
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 …
activities in extracting useful knowledge through texts in several formats. From a managerial …
A Framework for LLM-Assisted Smart Policing System
In the face of rapidly increasing crime rates, the evolving complexity of crime data
processing, and public safety challenges, the need for more advanced policing solutions …
processing, and public safety challenges, the need for more advanced policing solutions …