End-to-end transformer-based models in textual-based NLP

A Rahali, MA Akhloufi - AI, 2023 - mdpi.com
Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

DEPTWEET: A typology for social media texts to detect depression severities

M Kabir, T Ahmed, MB Hasan, MTR Laskar… - Computers in Human …, 2023 - Elsevier
Mental health research through data-driven methods has been hindered by a lack of
standard typology and scarcity of adequate data. In this study, we leverage the clinical …

Performance analysis of transformer-based architectures and their ensembles to detect trait-based cyberbullying

T Ahmed, S Ivan, M Kabir, H Mahmud… - Social Network Analysis …, 2022 - Springer
The influence of social media is one of the most dominating characteristics of the current era,
and this has led cyberbullying to grow into a more serious social issue. As a result …

[HTML][HTML] Decoding depression: Analyzing social network insights for depression severity assessment with transformers and explainable AI

T Ahmed, S Ivan, A Munir, S Ahmed - Natural Language Processing …, 2024 - Elsevier
Depression is a mental state characterized by recurrent feelings of melancholy,
hopelessness, and disinterest in activities, having a significant negative influence on …

[PDF][PDF] Self-Training for Cyberbully Detection: Achieving High Accuracy with a Balanced Multi-Class Dataset

M Ahmadinejad, N Shahriar, L Fan - 2023 - uregina.ca
Cyberbullying is a growing concern in the digital age, causing significant harm to its victims.
The ability to automatically detect cyberbullying in social media is crucial for protecting …

An Evaluation of Transformer-Based Models in Personal Health Mention Detection

AA Khan, F Kamal, N Nower, T Ahmed… - … on Computer and …, 2022 - ieeexplore.ieee.org
In public health surveillance, the identification of Personal Health Mentions (PHM) is an
essential initial step. It involves examining a social media post that mentions an illness and …

The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content

X Wang, S Koneru, PN Venkit, B Frischmann… - arXiv preprint arXiv …, 2024 - arxiv.org
As social media has become a predominant mode of communication globally, the rise of
abusive content threatens to undermine civil discourse. Recognizing the critical nature of …

From Tweets to Tolerance: Empowering Cyberbullying Detection with Deep Learning Models

M Asfand-e-Yar, S Aftab, Q Hashir… - … Conference on Frontiers …, 2023 - ieeexplore.ieee.org
Cyberbullying is the spreading of hate among different religions and people through the
Internet. With the worldwide growth in Twitter users, it is now more prone to bullying. There …

Multifaceted Cyberbullying Detection using Deep Learning Architectures and Semantic Embeddings in Social Media Discourse

A Aggarwal, S Karan, D Gupta… - 2024 15th …, 2024 - ieeexplore.ieee.org
The Internet is growing into an effective communication tool. But the way the medium is used
for targeted communication negatively often referred to as cyberbullying is a matter of …

A Vision-Language Multimodal Framework for Detecting Hate Speech in Memes

S Ivan, T Ahmed, S Ahmed… - 2024 IEEE Canadian …, 2024 - ieeexplore.ieee.org
Memes, widely used in social media, serve both entertainment and communication
purposes but can also contain offensive elements. Due to the vastness of internet content …