[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
MS Jahan, M Oussalah - Neurocomputing, 2023 - Elsevier
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …
users to abuse such platforms to spread vulgar or abusive language, which, when …
Hate speech detection on Twitter using transfer learning
Social Media has become an ultimate driver of social change in the global society.
Implications of the events, that take place in one corner of the word, reverberate across the …
Implications of the events, that take place in one corner of the word, reverberate across the …
Data bootstrapping approaches to improve low resource abusive language detection for indic languages
Abusive language is a growing concern in many social media platforms. Repeated exposure
to abusive speech has created physiological effects on the target users. Thus, the problem of …
to abusive speech has created physiological effects on the target users. Thus, the problem of …
Abusive language detection from social media comments using conventional machine learning and deep learning approaches
With the increase in the culture of social media and netizen, every day, millions of comments
are posted on the uploaded posts. The use of abusive language in user comments has been …
are posted on the uploaded posts. The use of abusive language in user comments has been …
Multilingual abusive comment detection at scale for indic languages
V Gupta, S Roychowdhury, M Das… - Advances in …, 2022 - proceedings.neurips.cc
Social media platforms were conceived to act as online town squares' where people could
get together, share information and communicate with each other peacefully. However …
get together, share information and communicate with each other peacefully. However …
Fine-tuning llama 2 large language models for detecting online sexual predatory chats and abusive texts
Detecting online sexual predatory behaviours and abusive language on social media
platforms has become a critical area of research due to the growing concerns about online …
platforms has become a critical area of research due to the growing concerns about online …
Roman Urdu hate speech detection using transformer-based model for cyber security applications
Social media applications, such as Twitter and Facebook, allow users to communicate and
share their thoughts, status updates, opinions, photographs, and videos around the globe …
share their thoughts, status updates, opinions, photographs, and videos around the globe …
Aggression detection in social media from textual data using deep learning models
It is an undeniable fact that people excessively rely on social media for effective
communication. However, there is no appropriate barrier as to who becomes a part of the …
communication. However, there is no appropriate barrier as to who becomes a part of the …
Identification of motor and mental imagery EEG in two and multiclass subject-dependent tasks using successive decomposition index
The development of fast and robust brain–computer interface (BCI) systems requires non-
complex and efficient computational tools. The modern procedures adopted for this purpose …
complex and efficient computational tools. The modern procedures adopted for this purpose …