Sentiment Analysis and Emotion Extraction: A Review of Research Paradigm

Micro-blogging is one of the most popular social network services that enable users to share their thoughts, ideas and discuss current issues every day. Some popular micro-blogging sites are Tumblr, Twitter, Pinterest, Flattr, Meetme. This research will work to represent the study of sentiment analysis to extract emotions from textual contents by using several methods of tracking mode. Several classifiers are trained to extract basic moods such as Joy, Trust, Fear, Surprise, Sadness, Disgust, Anger, and Anticipate from text. The aspect of this research is to give a nearly concept about sentiment analysis techniques and the related areas.