Sentiment Analysis on YouTube: A Brief Survey
Muhammad Zubair Asghar, Shakeel Ahmad, Afsana Marwat, Fazal Masud, Kundi

TL;DR
This paper provides a concise survey of methods used for sentiment analysis of user opinions expressed on YouTube videos, highlighting the challenges and techniques in this emerging area.
Contribution
It offers a comprehensive overview of existing sentiment analysis techniques specifically applied to YouTube comments and user opinions.
Findings
Various sentiment analysis techniques are adapted for YouTube data
Challenges include handling video-specific context and informal language
The survey identifies gaps and future directions in YouTube sentiment analysis
Abstract
Sentiment analysis or opinion mining is the field of study related to analyze opinions, sentiments, evaluations, attitudes, and emotions of users which they express on social media and other online resources. The revolution of social media sites has also attracted the users towards video sharing sites, such as YouTube. The online users express their opinions or sentiments on the videos that they watch on such sites. This paper presents a brief survey of techniques to analyze opinions posted by users about a particular video.
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Taxonomy
TopicsSentiment Analysis and Opinion Mining · Topic Modeling · Advanced Text Analysis Techniques
