Sentiment Analysis on YouTube Videos for kids: Review
Amal Alrehaili, Abdullah Alsaeedi, Wael M. S. Yafooz · 2021
With the increasing emergence of social network applications, people now use social media to share their opinions on daily issues and analyse people's interactions and reactions toward daily activities such as buying a product, watching videos, community services and other viral situations. A significant number of children watch videos using web platforms such as YouTube. However, such platforms can contain useful or harmful videos to children. Many attempts have been conducted in order to rank the quality of YouTube Videos based on the sentiment analysis approach. However, few attention has been given to Kids' YouTube videos. Therefore, this paper investigates existing methods and techniques that concentrate on YouTube video sentiment analysis. The methods classify them based on machine, deep learning approaches. This paper can be beneficial to many researchers in data mining, sentiment analysis area and more related research areas.