This is much more interesting analysing voice tone and micro expressions. But as in all to properly categorize, it should be in very detail layed out how the classifications are set as the context of the individual data points, hence in the end, people, analyzed is extremely important to interpret the results correctly. Great insights though.
This is much more interesting analysing voice tone and micro expressions. But as in all to properly categorize, it should be in very detail layed out how the classifications are set as the context of the individual data points, hence in the end, people, analyzed is extremely important to interpret the results correctly. Great insights though.
Same for perceived negative or positive words, which change extremely in meaning, depending the setting when and where written or uttered, no?