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Antisocial behavior identification from twitter feeds using traditional machine learning algorithms and deep learning
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 …
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
In the era of digital communication, social media platforms have experienced exponential
growth, becoming primary channels for information exchange. However, this surge has also …
growth, becoming primary channels for information exchange. However, this surge has also …
Social network analysis algorithms, techniques and methods
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 …
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
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 …
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
Social networks are a major medium for communicating, collaborating, and sharing
knowledge, data, and ideas. However, due to anonymity preservation, incidents of …
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 …
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 …
making processes and optimizing outcomes across various sectors. This interdisciplinary …
Probabilistic graphical model for the evaluation of the emotional and dramatic personality disorders
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 …
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 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 …
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 …
models available to help them analyze customer behavior and control these risks. My …