A Review on Sentiment Analysis of Social Media Networks using Deep Learning

Social media is a collection of websites and applications mainly helpful for communication, interaction, sharing content and collaboration. The main purpose of this study is to find the human behavior at various times in the social media conversation. The people can be easily affected by toxic persons, messages or circumstances. Nowadays social media is used by most people for immediate reply. The textual data can easily make the people either cool or pulling down. The dealing of problems will be solved when one responds to the present rather than react. Unfortunately people are quickly reacting badly by conveying their messages in different forms either locally or internationally. This will lead to unnecessary emotions and opinions in a person’s mind. The Sentiment Analysis is the tool to observe and analyze human behavior by applying machine learning or deep learning algorithms. The aim of this review study is to enhance the process of finding human behavior by training computer machines using computer algorithms. Further it will give suggestions to change the mental attitude of social media users to deal with the present situation.