A computer-implemented method of digital image analysis, the method comprising: obtaining first digital video (226, 206) of a human subject that indicates expressions of the human subject; obtaining audio along with said first digital video, said audio indicates spoken words of another human to which the human subject interacts in a conversation, performing micro-expression analysis on the human subject using the first digital video, electronically converting the audio to a textual string for computer analysis, wherein the computer analysis comprises electronically identifying one or more topics to defining emotional reactions from the textual string of the audio to generate topic labels at different points in time of the conversation; comparing results of the performed micro-expression analysis and the computer analysis, said comparing comprising electronically correlating each of the identified one or more topic labels to corresponding emotion tags identified from the micro-expression analysis that indicate emotional reactions of the human subject to the one or more topics; and providing feedback to the other human based on the comparing of results, wherein the digital video captures a face of the subject at substantially a right angle to the subject's face so as to capture changes in muscle motion across the subject's entire face, including forehead, chin, and cheeks, and muscles around the eyes, wherein consecutive ones of a series of video frames have the face of the subject aligned with each other and zones of the subject's face are identified so as to represent common features of the subject's face across different frames over time, wherein changes in pixels from frame-to-frame and across multiple groups of frames, indicate motion of parts of the subject's facial muscles relative to other parts of the face that did not move in the same manner, wherein the micro-expression analysis performed on the first digital video, is performed on the face resulting in numeric figures identifying the location of, amplitude of, and speed of, micro-changes in the face. obtaining first digital video (226, 206) of a human subject that indicates expressions of the human subject; obtaining audio along with said first digital video, said audio indicates spoken words of another human to which the human subject interacts in a conversation, performing micro-expression analysis on the human subject using the first digital video, electronically converting the audio to a textual string for computer analysis, wherein the computer analysis comprises electronically identifying one or more topics to defining emotional reactions from the textual string of the audio to generate topic labels at different points in time of the conversation; comparing results of the performed micro-expression analysis and the computer analysis, said comparing comprising electronically correlating each of the identified one or more topic labels to corresponding emotion tags identified from the micro-expression analysis that indicate emotional reactions of the human subject to the one or more topics; and providing feedback to the other human based on the comparing of results, wherein the digital video captures a face of the subject at substantially a right angle to the subject's face so as to capture changes in muscle motion across the subject's entire face, including forehead, chin, and cheeks, and muscles around the eyes, wherein consecutive ones of a series of video frames have the face of the subject aligned with each other and zones of the subject's face are identified so as to represent common features of the subject's face across different frames over time, wherein changes in pixels from frame-to-frame and across multiple groups of frames, indicate motion of parts of the subject's facial muscles relative to other parts of the face that did not move in the same manner, wherein the micro-expression analysis performed on the first digital video, is performed on the face resulting in numeric figures identifying the location of, amplitude of, and speed of, micro-changes in the face.