Predictive video analytics system and methods

A method to predict user behavior based on analysis of a video communication, which comprises:

• receiving, by one or more processors, a user video communication;
• extracting, by the one or more processors, video facial analysis data for the user from the video communication;
• extracting, by the one or more processors, voice analysis data including spoken words from the user video communication;
• associating, by the one or more processors, the video facial analysis data with the voice analysis data to determine an emotional state of the user;
• collecting, by the one or more processors, biographical profile information specific to the user;
• determining, by the one or more processors, a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types;
• and
• entering, by the one or more processors, the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication.

A non-transitory machine-readable medium comprising instructions which, in response to a computer system, cause the computer system to perform a method which comprises:

• receiving a user video communication;
• separating an audio component from a video component of the video communication;
• analyzing facial expressions of the user in the video component;
• transcribing words spoken of the user in the audio component;
• associating the facial expressions and spoken words to determine an emotional state of the user;
• collecting biographical profile information specific to the user;
• determining a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types;
• and
• entering the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication.