activity
20202022
most citedArabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches

25 citations · 39 across the 8 of their papers we have counts for

collaborators

7 papers

cs.CL202110 cited

Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model

Fatemah Husain, Ozlem Uzuner

Developing a system to detect online offensive language is very important to the health and the security of online users. Studies have shown that cyberhate, online harassment and o…

cs.CL2021

Exploratory Arabic Offensive Language Dataset Analysis

Fatemah Husain, Ozlem Uzuner

This paper adding more insights towards resources and datasets used in Arabic offensive language research. The main goal of this paper is to guide researchers in Arabic offensive l…

cs.CL20201 cited

SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection

Fatemah Husain, Jooyeon Lee, Samuel Henry +1

This paper describes SalamNET, an Arabic offensive language detection system that has been submitted to SemEval 2020 shared task 12: Multilingual Offensive Language Identification…

cs.HC20201 cited

Investigating Current State-of-The-Art Applications of Supportive Technologies for Individuals with ADHD

Fatemah Husain

Attention Deficit Hyperactivity Disorder (ADHD) is a chronic mental and behavioral disorder that interferes with everyday activities and has three core symptoms: inattention, hyper…

cs.CL202025 cited

Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches

Fatemah Husain

This study aims at investigating the effect of applying single learner machine learning approach and ensemble machine learning approach for offensive language detection on Arabic l…

cs.CY2020

Social Media Usage in Kuwait: A Comparison of Perspectives Between Healthcare Practitioners and Patients

Fatemah Husain, Vivian Motti

Social Media has been transforming numerous activities of everyday life, impacting also healthcare. However, few studies investigate the medical use of social media by patients and…