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 …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
[PDF][PDF] BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification.
T Ranasinghe, M Zampieri… - FIRE (working notes), 2019 - researchgate.net
In this paper, we describe the BRUMS entry to the Hate Speech and Offensive Content
Identification in Indo-European Languages (HASOC) shared task 2019. The HASOC …
Identification in Indo-European Languages (HASOC) shared task 2019. The HASOC …
A review of automated detection methods for cyberbullying
As we see the cyberspace evolve we also see a directly proportional growth of the people
using the cyberspace for communication. As a result, the misuse of the cyberspace has …
using the cyberspace for communication. As a result, the misuse of the cyberspace has …
The language of bullying: social issues on Chinese websites
W Li - Aggression and violent behavior, 2020 - Elsevier
The growing use of information and communication technology has led to the development
of the global phenomenon of cyberbullying. Causes and consequences of cyberbullying …
of the global phenomenon of cyberbullying. Causes and consequences of cyberbullying …
Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …
offensive languages) is essential to provide a healthy conversation environment on the Web …
Aggressive, repetitive, intentional, visible, and imbalanced: Refining representations for cyberbullying classification
Cyberbullying is a pervasive problem in online communities. To identify cyberbullying cases
in large-scale social networks, content moderators depend on machine learning classifiers …
in large-scale social networks, content moderators depend on machine learning classifiers …
Multi-modal cyberbullying detection on social networks
Because social networks have become a vital part of people's lives, cyberbullying becomes
the most common risk encountered by young people on social networking platforms and …
the most common risk encountered by young people on social networking platforms and …
Weakly supervised cyberbullying detection using co-trained ensembles of embedding models
Social media has become an inevitable part of individuals personal and business lives. Its
benefits come with various negative consequences. One major concern is the prevalence of …
benefits come with various negative consequences. One major concern is the prevalence of …
Arabic cyberbullying detection using arabic sentiment analysis
S Almutiry, M Abdel Fattah - The Egyptian Journal of Language …, 2021 - ejle.journals.ekb.eg
The Sentiment Analysis is used for the text analysing, and classification of the text attitude.
We are using the computing advancement in the form of Machine Learning (ML) and …
We are using the computing advancement in the form of Machine Learning (ML) and …