Sentiment Analysis on YouTube: A Brief Survey

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.