The invention relates to content categorization and a method to that end comprises acts of: rendering content within graphical user interfaces to a plurality of viewers; receiving multiple signals related to feedbacks from the plurality of viewers relatively to the rendered content; and tallying the multiple received signals from the plurality of viewers to categorize the content. More particularly: the content is fragmented into a plurality of fragments having a predetermined duration, each signal comprises data of a facial expression recognition of each viewer, to sense a mood expression of the viewer during the content rendering, a memory is provided for storing at least timestamps associated to fragments for which an intensity of the sensed mood expression of a viewer is above a first threshold, and a processing circuit is further provided for implementing tallying acts of: For all the viewers and for each given timestamp, using the memory for counting a first number of viewers for which the intensity is above the first threshold during the fragment corresponding to the given timestamp, and When the first number is above a second threshold, labelling the fragment corresponding to the given timestamp as a moment of interest of the content.