Journal of Advances in Mathematics and Computer Science

People tend to convey emotions and show the sentiment either consciously or unconsciously while they speak or write. Many are under the common delusion that both sentiment and emotion are indistinguishable. Sentiment is the mental attitude originating from the feelings whereas emotion is a strong feeling itself.  Sentiment analysis is used to identify and extract subjective information about the data. Thus it is also called as Opinion Mining. Emotion analysis gives an idea on people’s psychological responses.  With the growth of web 2.0 many social media and marketing companies started investing more resources on this field. This helped them to predict several things from computing customer satisfaction metrics to identifying detractors and promoters companies. At present there are several methods and techniques for sentiment and emotion analysis. In this paper we have referred several researches and methods proposed. Finally we have come to a conclusion that combining regression analysis method of sentiment detection and image processing to detect emotion can yield a productive hybrid model for more precise results.