Social media data is gaining attention as consumers become accustomed to sharing and
finding product perceptions on social media. Perceived quality is consumers' subjective …

Regardless of revolutionizing improvements in various domains thanks to recent
advancements in the field of Deep Learning (DL), recent studies have demonstrated that DL …

Social media platforms and online gaming sites play a pervasive role in facilitating peer
interaction and social development for adolescents, but they also pose potential threats to …

In this study, we have implemented a significant number of experiments using machine
learning (ML), deep learning (DL), and feature extraction techniques to detect cyberbullying …

Text categorization (TC) is a natural language processing (NLP) task commonly used in text
mining. It is defined as the automatic assignment of text to a set of given categories …

Website classification proves crucial for tasks like malicious website detection and
information management. Current methods typically focus on effective feature extraction and …

As social media has grown exponentially during Covid-19, they have helped disseminate
information, spread fake news and propaganda; thus provide a source of self-reported …

In the rapidly evolving field of natural language processing (NLP), the processing of the
Chinese language, with its unique complexities, presents significant challenges, especially …

This research investigates the impact of social media trolling on political events such as
elections. The study utilizes the dataset of the Internet Research Agency, a Russian" troll …

The advancement of technology has resulted in increased news consumption through
various online platforms and social media channels. Hence, there is a requirement for …