Classification of Sentiments Using Predictive Analysis Over Social Network: A Review

Sentiment is the way of representing our self in front of other so that other can respond accordingly or oppose it. The process of defining the emotion or opinion of a part of data is called sentiment analysis. The main reason for sentiment analysis is to categorize an author’s attitude toward numerous subjects into positive, terrible or impartial classes. However not limited to, commercial enterprise intelligence, politics, sociology, etc..Predictive analysis is required to predict the future for the validity of content on social network. The sentiments of the people can be collected from social networking websites, micro blogs, wikis and web packages etc.. In the proposed work predictive analysis techniques are investigated and compared on the ground of performance. It is observed that most of the high performing techniques are based on neural network machine learning algorithm.