Methodological Review of Emotion Recognition for Social Media: A Sentiment Analysis Approach

Abstract

Emotion recognition and their analysis have become a very popular topic nowadays, as most of the world using the social media in the form of various applications such as Twitter, Facebook, Whatsapp, Instagram and many more. Also, there are quite a large number of users, who buy the different daily life products through the online shopping websites like Amazon, Flipkart where the online behaviors and emotions of the consumer buying the product is of great interest to the e-commerce industry. In accordance to, the development in the artificial intelligence field, there exist various algorithms that are programmed to analyze the user behavior and trap their emotions through various tools for analyzing the market trends and to increase the percentage of profit. Furthermore, a prolific rate of development is observed in the AI field. This now can be noticed presently, in the form of ‘Deep learning’ where a very huge amount of data is available and the decision-making process is very crucial. If the tremendous amount of data is accessible, “Machine Learning” algorithms are of utmost importance.