The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

Social media networks are becoming an essential part of life for most of the world's
population. Detecting cyberbullying using machine learning and natural language …

Several research on cyberbullying detection have employed different deep learning and
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …

The advancement of technology has paved the way for a new type of bullying, which often
leads to negative stigma in the social setting. Cyberbullying is a cybercrime wherein one …

Social media platforms have a huge impact on our daily lives. They have succeeded in
attracting many people to spend time communicating and expressing themselves. Twitter is …

Social media platforms have become the primary means of communication and information
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …

Cyberbullying is a problem that is faced in many cultures. Due to their popularity and
interactive nature, social media platforms have also been affected by cyberbullying. Social …

Cyberbullying (CB) is classified as one of the severe misconducts on social media. Many CB
detection systems have been developed for many natural languages to face this …

Background: With digital transformation and growing social media usage, kids spend
considerable time on the web, especially watching videos on YouTube. YouTube is a source …

The Sentiment Analysis is used for the text analysing, and classification of the text attitude.
We are using the computing advancement in the form of Machine Learning (ML) and …