Emotional Conversational Analytics - An experimental case study

Users are shifting to voice over message-based communications rather than typing. There exists a gap in evaluating emotional aspects of the phrases uttered. There are software analytics for sentimental analysis and other ways of measuring emotional aspects of the spoken phrases. But there is a lack of a system that evaluates secondary and primary emotions that can be used in various areas to detect human behavior. In order to facilitate this, there is a need to decipher the primary and secondary emotions of the user. This project addresses a novel idea of creating an emotional phrase map that identifies secondary and primary emotions, in addition to using machine language to train the system to identify the phrases and classify the emotions via a case study and the results analyzed.