2 Years Impact Factor:
2.85
5 Years Impact Factor: 1.53
Author: Siripuram Harshini, Kunta Karthik Reddy, Maddi Charan, K Radha
Abstract:
To analyze and quantify viewer sentiments and emotional engagement in kid-centric YouTube videosusing sentiment analysis techniques. The goal is to understand the emotional impact and response patterns in these videos to help content creators optimize audience engagement. The title suggests applying sentiment analysis methods to understand viewer emotions and engagement levels in YouTube videos specifically created for children. This study focuses on analyzing the feedback and comments to uncover emotional responses and their impact on the successofkid- centriccontent.Beforemachinelearning,sentimentanalysiswasdonem anually by reading and categorizing viewer comments, which was time- consuming and subjective. Basic keyword-based approaches were used to gauge sentiment without understanding the nuances of human emotions. Content success was often judged by simple metrics like views and likes, without deeper emotional insights. Traditional system like manual review of comme
Download PDF