Sentiment Analysis on Social Media

Abstract

In this advanced growing world, we can notice an enormous boost of user-generated data over various social media platforms and sentiment analysis. It has come across as dominant automation to get understanding from social media. Sentiment analysis is an analysis technique that studies people’s feelings and opinions and it has grown significantly over the years.The sentimental analysis serves as an offshoot of machine learning(ML), DataMining(DM), NLP, and computational linguistics, which also have components from sociology and psychology. Social media users are growing so fast that in 2019 there were up to 2.77 billion SM (social media) users all worldwide and in 2022 the number increased to 4.59 billion. In relation to this increase, the kind of information shared and uploaded in the structure of photos, audio, video, and text is massive