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A systematic review of machine learning algorithms in cyberbullying detection: future directions and challenges
M Arif - Journal of Information Security and Cybercrimes …, 2021 - journals.nauss.edu.sa
Social media networks are becoming an essential part of life for most of the world's
population. Detecting cyberbullying using machine learning and natural language …
population. Detecting cyberbullying using machine learning and natural language …
Cyberbullying conceptualization, characterization and detection in social media–A systematic literature review
Social media has become the primary form of communication wherein users can share
intimate moments online through photos, videos, or posts. At a glance, while this greatly …
intimate moments online through photos, videos, or posts. At a glance, while this greatly …
A study of machine learning-based models for detection, control, and mitigation of cyberbullying in online social media
Online social media (OSM) is an integral part of human life these days. Significantly, the
young generation spends most of their time on social media in an active and passive state …
young generation spends most of their time on social media in an active and passive state …
[HTML][HTML] Classifying crowdsourced citizen complaints through data mining: Accuracy testing of k-nearest neighbors, random forest, support vector machine, and …
Crowdsourcing has gradually become an effective e-government process to gather citizen
complaints over the implementation of various public services. In practice, the collected …
complaints over the implementation of various public services. In practice, the collected …
Email-based cyberstalking detection on textual data using multi-model soft voting technique of machine learning approach
In the virtual world, many internet applications are used by a mass of people for several
purposes. Internet applications are the basic needs of people in the modern days of lifestyle …
purposes. Internet applications are the basic needs of people in the modern days of lifestyle …
Vectorize me! A proposed machine learning approach for segmenting the multi-optional tourist
R Egger - Journal of Travel Research, 2024 - journals.sagepub.com
Contemporary consumer behavior is characterized by its multidimensionality and
complexity, which, at the same time, pushes traditional segmentation approaches to their …
complexity, which, at the same time, pushes traditional segmentation approaches to their …
[PDF][PDF] Effect of features extraction techniques on cyberstalking detection using machine learning framework
Various cybercriminals are active with predefined and preplanned agendas to carry out
cybercrimes in the Internet world. Cyberstalking, cyberbullying, cyber terrorism, cyber …
cybercrimes in the Internet world. Cyberstalking, cyberbullying, cyber terrorism, cyber …
Performance analysis of annotation detection techniques for cyber-bullying messages using word-embedded deep neural networks
S Giri, S Banerjee - Social Network Analysis and Mining, 2023 - Springer
In recent times, online harassment due to cyber-bullying is significantly increased with the
growth of social media users. Cyber-bullying is a technique to harass users using electronic …
growth of social media users. Cyber-bullying is a technique to harass users using electronic …
To be ethical and responsible digital citizens or not: A linguistic analysis of cyberbullying on social media
J Zhong, J Qiu, M Sun, X **, J Zhang, Y Guo… - Frontiers in …, 2022 - frontiersin.org
As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied
concern—especially from the perspective of language. Elucidating the linguistic features of …
concern—especially from the perspective of language. Elucidating the linguistic features of …
Bullying Tweets Detection Using CNN-Attention
A Alhloul, A Alam - Available at SSRN 4338998, 2023 - papers.ssrn.com
The prevalence of cyberbullying toward minorities has been a global concern in the last
decade. This concern reached a crescendo during the COVID-19 pandemic as many online …
decade. This concern reached a crescendo during the COVID-19 pandemic as many online …