Antisocial behavior identification from twitter feeds using traditional machine learning algorithms and deep learning

R Singh, S Subramani, J Du, Y Zhang… - ICST Transactions on …, 2023 - vuir.vu.edu.au
Antisocial behavior (ASB) is one of the ten personality disorders included in 'The Diagnostic
and Statistical Manual of Mental Disorders (DSM-5) and falls in the same cluster as …

Enhancing Hate Speech Detection in the Digital Age: A Novel Model Fusion Approach Leveraging a Comprehensive Dataset

W Sharif, S Abdullah, S Iftikhar, D Al-Madani… - IEEE …, 2024 - ieeexplore.ieee.org
In the era of digital communication, social media platforms have experienced exponential
growth, becoming primary channels for information exchange. However, this surge has also …

Social network analysis algorithms, techniques and methods

L Sandra, A Trisetyarso, A Ramadhan… - 2021 International …, 2021 - ieeexplore.ieee.org
Understanding how social structures with the use of a network have been an active field of
study for academics in the past five years alone. The need to properly comprehends how …

Category-universal witness discovery with attention mechanism in social network

W Liu, J Cao, Y Yang, B Liu, Q Gao - Information Processing & …, 2022 - Elsevier
Discovering witnesses of real-world events in social networks based on posts is of great
significance for crime investigation, rumor dispelling and emergency management during …

Quasi-Reflection Learning Arithmetic Firefly Search Optimization with Deep Learning-based Cyberbullying Detection on Social Networking

AT Azar, HM Noori, AR Mahlous, A Al-Khayyat… - … , Technology & Applied …, 2024 - etasr.com
Social networks are a major medium for communicating, collaborating, and sharing
knowledge, data, and ideas. However, due to anonymity preservation, incidents of …

Selection and evaluation of a set of attributes appropriate for detection of antisocial behaviour in online media

K Machová, V Balara, M Mach, Š Kožík - Multimedia Tools and …, 2025 - Springer
Nowadays the world of modern technologies brings new ways of communication and
interaction between people. Online communication becomes faster and more convenient …

Advancing Personality Detection through Word Embedments and Deep Learning: An Examination Using the MBTI Dataset

AG Shanmukha, RS Shamyuktha… - 2024 IEEE Recent …, 2024 - ieeexplore.ieee.org
Personality detection and classification hold significant potential for enhancing decision-
making processes and optimizing outcomes across various sectors. This interdisciplinary …

Probabilistic graphical model for the evaluation of the emotional and dramatic personality disorders

JD García-Franco, FJ Díez, MÁ Carrasco - Frontiers in Psychology, 2022 - frontiersin.org
Personality disorders are psychological ailments with a major negative impact on patients,
their families, and society in general, especially those of the dramatic and emotional type …

Detection of antisocial personality disorder using optimal multi-head attention based auto encoder

A Rohini, A Packialatha - Multimedia Tools and Applications, 2024 - Springer
A nti-social personality disorder (ASPD) is one of the mental disorders and the individual
with ASPD generally violates the rules and becomes a criminal. Hence, it is essential to …

Study on loan risk control by Markov chain and variational method

K Wang - 2023 - vuir.vu.edu.au
It is widely acknowledged that loan companies face various risks, and there are several
models available to help them analyze customer behavior and control these risks. My …