Emotion Recognition using Skin Conductance and Sentiment Analysis

Abstract

The information about what a user is feeling as a reaction to a product is a very important aspect that we humans have concerned ourselves with within the last decade. From response towards advertisements to making an enhanced and personalized user interface, requires a solution pertaining to the field of finding the emotional state of the user. There are numerous methods to realize emotions including speech recognition and facial expressions, but these methods lack ubiquitous availability and can be fabricated otherwise. The other concern with the above methods is the higher level of inaccuracy. Therefore, the use of bio-signals is increasing. In this paper we utilize “Galvanic Skin Response (GSR)” or “Skin Conductance (SC)” or “Electro-dermal Activity (EDA)” to figure out 6 basic emotions. Feeling emotions is directly linked to the arousal of the body, and stimulates the sweat glands on our body, hence above written bio- signals seem to be a perfect fit for realizing emotions. Hence, we use skin conductance and sentiment analysis to find the emotional state of the user as a response to the social media content, making it a better fit for real-world applications.