Crime prediction using machine learning and deep learning: A systematic review and future directions

V Mandalapu, L Elluri, P Vyas, N Roy - IEEE Access, 2023 - ieeexplore.ieee.org
Predicting crime using machine learning and deep learning techniques has gained
considerable attention from researchers in recent years, focusing on identifying patterns and …

A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis

A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

Data science approach for crime analysis and prediction: Saudi arabia use-case

N Aldossari, A Algefes, F Masmoudi… - 2022 Fifth International …, 2022 - ieeexplore.ieee.org
One of the cornerstones of the Saudi Vision 2030 is ensuring a good quality of life. It is
closely linked to enhancing security and safety by bolstering ongoing efforts to combat crime …

Mental Health on Twitter in Turkey: Sentiment Analysis with Transformers

Q Alshammari, S Akyüz - Decision Making in Healthcare Systems, 2024 - Springer
Social media are regarded as excellent mediums for capturing individuals' everyday
routines, interests, and ideologies. Also, these platforms are now used to exchange health …

Image Recognition to Detect COVID-19 Violations: Saudi Arabia Use Case

A Algefes, N Aldossari, F Masmoudi - Proceedings of Seventh …, 2022 - Springer
The upsurge in the number of criminal cases in Saudi Arabia is a cause for concern. More
so, with the recent emergence of COVID-19, the government has forbidden specific social …

Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

VDH De Carvalho, RJR Dos Santos… - 2024 - preprints.org
Text mining is a technological trend often highlighted in the continuous exchange of
information through interconnected media. Its applicability goes beyond private …