[HTML][HTML] A comparative analysis of machine learning techniques for cyberbullying detection on twitter

A Muneer, SM Fati - Future Internet, 2020 - mdpi.com
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …

[HTML][HTML] A high-quality feature selection method based on frequent and correlated items for text classification

H Mamdouh Farghaly, T Abd El-Hafeez - Soft Computing, 2023 - Springer
The feature selection problem is a significant challenge in pattern recognition, especially for
classification tasks. The quality of the selected features plays a critical role in building …

Cyberbullying detection in social networks: A comparison between machine learning and transfer learning approaches

TH Teng, KD Varathan - IEEE Access, 2023 - ieeexplore.ieee.org
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …

Detecting fake news in social media using voting classifier

E Elsaeed, O Ouda, MM Elmogy, A Atwan… - IEEE …, 2021 - ieeexplore.ieee.org
The availability of social media, blogs, and websites to everyone creates a lot of problems.
False news is a critical issue that can affect individuals or entire countries. Fake news can be …

Big data directed acyclic graph model for real-time COVID-19 twitter stream detection

B Amen, S Faiz, TT Do - Pattern Recognition, 2022 - Elsevier
Every day, large-scale data are continuously generated on social media as streams, such as
Twitter, which inform us about all events around the world in real-time. Notably, Twitter is …

SANN: programming code representation using attention neural network with optimized subtree extraction

M Hoq, SR Chilla, M Ahmadi Ranjbar… - Proceedings of the …, 2023 - dl.acm.org
Automated analysis of programming data using code representation methods offers
valuable services for programmers, from code completion to clone detection to bug …

A new feature selection method based on frequent and associated itemsets for text classification

H Mamdouh Farghaly… - … : Practice and Experience, 2022 - Wiley Online Library
Feature selection is one of the major issues in pattern recognition. The quality of selected
features is important for classification as the low‐quality data can degrade the model …

[HTML][HTML] iDetect for vulnerability detection in internet of things operating systems using machine learning

A Al-Boghdady, M El-Ramly, K Wassif - Scientific Reports, 2022 - nature.com
Abstract Internet of Things (IoT)'s devices are ubiquitous and operate in a heterogonous
environment with potential security breaches. IoT Operating Systems (IoT OSs) are the …

Text document classification using fuzzy rough set based on robust nearest neighbor (FRS-RNN)

B Behera, G Kumaravelan - Soft Computing, 2021 - Springer
The fuzzy rough set (FRS) acts as a powerful mathematical tool to deal with uncertain data,
and it has many applications in feature selection, dimensionality reduction and classification …

Sentiment analysis on movie review using Naïve Bayes

NL Adam, NH Rosli, SC Soh - 2021 2nd international …, 2021 - ieeexplore.ieee.org
Sentiment analysis is needed because the analysis of the emotion is somehow complicated
due to slang phrases, misspellings, short-forms, recurring characters, the use of dialects …