Analysing Sentiments for YouTube Comments using Machine Learning

Abstract

Abstract: Sentiment analysis is a method for learning what users think and feel about a service or a product. YouTube is one of the most popular platforms for sharing videos. Millions of views are attained. These get a lot of comments, many of which offer helpful information that raises the posted content's rating levels. Natural language processing and machine learning techniques are used to make use of these remarks. There have been several academic attempts with two classes (positive or negative), three classes (two with neutral), or multiple classes (happy, sad, fear, surprise, and rage). Consequently, there had been efforts to utilise study of comments on YouTube to determine the polarity. This study examines the perception of strategies and methods for analysis that may be used to the material on YouTube.