System and Method for Segment Relevance Detection for Digital Content

A system for evaluating media content comprising:

• a web-based application to stream a media content to a set of participants;
• a server having a processor, and a facial detection engine, the server is configured to:
• receive facial expression and emotional engagement of one or more participants of the set of participants in the form of video recordings and processing by the facial detection engine to identify one or more emotions of the set of participants in frame-by-frame manner;
• receive reactions of one or more participants in the set of participants, in which the reactions are captured by presenting one or more emojis to the second set of participants while the media content is playing, and asking the second set of participants to click emojis at different time of displayed media content to mark corresponding reactions;
• calculate the emotional valence, the difference of positive emotional values and the negative emotional values at a given time frame, from the facial expression of the set of participants;
• calculate the reaction valence, the difference of positive reactions and the negative reactions at a given time frame, from the reactions of the set of participants;
• wherein the server has ability to plot graphical representation of the emotional valence and the reaction valence of the set of participants;
• wherein the server is configured to identify the one or more time frames in video that has positive peak values and negative peak values in graphical representation of the emotional valence and the reaction valence.