Sentiment Analysis for Youtube Videos with User Comments: Review

Sentiment analysis is a process that discovers the user opinions and views against any service or a product. YouTube is one of the most popular videos sharing platforms obtaining millions of views. These receive several comments, containing valuable information that helps in improving the rating levels of the uploaded content. These comments are utilized by using natural language processing techniques and machine learning techniques. There are many attempts had been proposed scholarly with two (positive or negative), three (two with neutral) or multiple (happy, sad, fear, surprise and anger) classes. However, it is challenging to choose the best accurate model. Therefore, there had been attempts to use sentiment analysis on YouTube comments in identifying the polarity as well. This research paper investigates the sentiment analysis methods and techniques that can be used on the YouTube content. Additionally, it explains and categorizes these approaches which are useful in researches in data mining and sentiment analysis.