Role of Artificial Intelligence in Online Education: A Systematic Map** Study

R Shafique, W Aljedaani, F Rustam, E Lee… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) comprises various sub-fields, including machine learning (ML) and
deep learning (DL) perform a key role in the transformation of many industries, including …

Hate speech detection: A comprehensive review of recent works

A Gandhi, P Ahir, K Adhvaryu, P Shah… - Expert …, 2024 - Wiley Online Library
There has been surge in the usage of Internet as well as social media platforms which has
led to rise in online hate speech targeted on individual or group. In the recent years, hate …

From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection

EY Daraghmi, S Qadan, Y Daraghmi, R Yussuf… - IEEE …, 2024 - ieeexplore.ieee.org
Several research on cyberbullying detection have employed different deep learning and
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …

Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach

M Mujahid, F Rustam, R Shafique, V Chunduri… - Information, 2023 - mdpi.com
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …

An application to detect cyberbullying using machine learning and deep learning techniques

M Raj, S Singh, K Solanki, R Selvanambi - SN computer science, 2022 - Springer
Nowadays, a lot of people indulge themselves in the world of social media. With the current
pandemic scenario, this engagement has only increased as people often rely on social …

A lightweight deep learning model based recommender system by sentiment analysis

P Chiranjeevi, A Rajaram - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Recommender systems based on sentiment analysis become challenging due to the
presence of enormous data available over the internet. With the lack of proper data cleaning …

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …

A systematic hybrid machine learning approach for stress prediction

C Ding, Y Zhang, T Ding - PeerJ Computer Science, 2023 - peerj.com
Stress is becoming an increasingly prevalent health issue, seriously affecting people and
putting their health and lives at risk. Frustration, nervousness, and anxiety are the symptoms …

Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: opportunities, challenges, and future trends

W Aljedaani, E Saad, F Rustam, I de la Torre Díez… - Mathematics, 2022 - mdpi.com
Pandemics and infectious diseases are overcome by vaccination, which serves as a
preventative measure. Nevertheless, vaccines also raise public concerns; public …

Investigating the cyberbullying risk in digital media: protecting victims in school teenagers

I Obaidat, A Al-zou'bi, A Mughaid… - Social Network Analysis …, 2023 - Springer
The usage of social media and the internet has grown rapidly throughout the world and has
assimilated into daily life. Through the internet and social media, people can communicate …