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 …

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 …

Text classification, a well-known Natural Language Processing (NLP) task, can be defined
as the process of categorizing documents according to their content. In this process, the …

La revisión literaria consiste en encontrar trabajos similares al que se desea elaborar y
discriminar si pueden ser de utilidad. Esta tarea puede tornarse lenta y tediosa, debido a …

This paper addresses the problem of abnormal sample detection in deep learning-based
computer vision, focusing on two types of abnormal samples: outlier samples and …