A computer implemented method and apparatus for acquiring sentiment analysis information based on user reactions to displayable content. The method comprises receiving reaction data of at least one individual user viewing portions of displayable content, wherein the reaction data of each user includes indications representative of at least one of a time-varying emotional state of the user and a time-varying level of interest of the user captured during viewing of the displayable content; and performing sentiment analysis on the reaction data by at least one of: categorizing portions of the displayable content based on one of the reaction of one user or aggregated reactions of a plurality of users, and identifying at least one portion of the displayable content having one of a more favorable and a less favorable reaction by the at least one user, by comparison to one of a baseline and reactions to other portions of the displayable content.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method comprising: receiving reaction data of a plurality of users, the reaction data comprising indications representative of at least one of an emotional state of the user and a level of interest of the user captured during viewing of displayable content; identifying at least one portion of the displayable content to which at least one user had a reaction; and categorizing portions of the displayable content based on one of a reaction of one user and aggregated reactions of a plurality of users. 2. The method of claim 1, wherein the reaction data of each user of the plurality of users comprises a time indexed record derived from detected instances of at least one user behavior. 3. The method of claim 2, wherein the at least one user behavior includes a facial expression of each user detected as a response to viewing the displayable content. 4. The method of claim 1, further including: aggregating the reaction data of at least some of the plurality of individual users to obtain aggregated reaction data. 5. The method of claim 4, further including: executing a filtering expression on the aggregated reaction data to at least one of ignore and include particular user reactions based on a majority of users having one of a similar and a different reaction to a same portion of the displayable content; and graphically depicting a timeline of displayable content viewership, based on the filtered aggregated reaction data, to show a common reaction of a majority of users watching a same portion of the displayable content. 6. The method of claim 4, further including: classifying respective portions of the displayed content as corresponding to one of a plurality of content genre categories; and graphically depicting a timeline of displayable content viewership, based on the aggregated reaction data, to identify classified respective portions which are at least one of consistent and inconsistent with user reaction based on the aggregated reaction date. 7. The method of claim 1, wherein the reaction data received for each user includes: an interest index of a user who has viewed a plurality of portions of a video, where the interest index is generated based on a user's reaction to a portion of the video, as monitored by a camera, the method further including; generating an indicia of interest of the user for each portion of the video based on the interest index. 8. The method of claim 1, wherein at least some reactions of each of a plurality of users are classified by: accessing an output from a camera; performing facial detection and motion detection on the output to identify changes in at least one of eye movements, head movements, and facial expressions of each user; and mapping the changes in eye movement, head movement and facial expressions to user reactions. 9. The method of claim 8, wherein each user reaction is assigned a predefined point value and when two or more user reactions are observed during a portion of video, an interest index is calculated by adding the predefined point value for each of the two or more reactions. 10. The method of claim 1, wherein a more favorable user reaction is one in which the user has one of a higher level of interest in a portion of the displayable content and a positive emotional response to a portion of the displayable content as compared to a baseline, and wherein a less favorable user reaction is one in which the user has one of a lower level of interest and a negative emotional response to a portion of the displayable content as compared to a baseline. 11. An apparatus for performing sentiment analysis based on aggregated user reaction data comprising: a computer having a memory and one or more processors and further comprising: a reaction data file comprising data of a plurality of individual users viewing portions of displayable content, wherein reaction data of each user includes indications representative of at least one of an emotional state of the user and a level of interest of the user captured during viewing of the displayable content; a reaction aggregator for associating indications of multiple users with common portions of the displayable content; and an analyzer for at least one of identifying at least one portion of the displayable content to which at least one user had a reaction and categorizing portions of the displayable content based on aggregated reactions. 12. The apparatus of claim 11, wherein the displayable content is a video and wherein a processor of the one or more processors is operative to execute instructions for: generating a heat map; and displaying the heat map with the video. 13. The apparatus of claim 11, wherein user reaction is determined by: accessing an output from a camera; performing facial detection and motion detection on the output to identify changes in at least one of eye movements, head movements, and facial expressions of the user; and mapping the changes in eye movement, head movement and facial expressions to user reactions. 14. The apparatus of claim 13, wherein each user reaction is assigned a predefined point value and when two or more user reactions are observed during a portion of video, an interest index is calculated by adding the predefined point value for each of the two or more reactions. 15. The apparatus of claim 12, further comprising receiving an interest index of a plurality of users when the video is viewed by a corresponding plurality of users, and wherein generating the heat map comprises: calculating an average interest index based on interest indices of each user of the plurality of users for each portion of the video; mapping the average interest index to a graphical representation of the averaged interest index; and generating the heat map based on the graphical representation of the averaged interest indices for each portion of the video. 16. The apparatus of claim 15, wherein the indicia of interest includes a degree of interest in relation to other levels of interest. 17. A non-transitory computer readable medium for storing computer instructions that, when executed by at least one processor causes the at least one processor to perform a method for identifying a level of interest of a user for each portion of displayable content based on user reactions comprising: receiving reaction data of a plurality of users, the reaction data comprising indications representative of at least one of an emotional state of the user and a level of interest of the user captured during viewing of displayable content; and at least one of: identifying at least one portion of the displayable content to which at least one user had a reaction; and categorizing portions of the displayable content based on one of a reaction of one user and aggregated reactions of a plurality of users. 18. The computer readable medium of claim 17, wherein the displayable content is a video and the instructions when executed further perform displaying an indicia of interest for portions of the video when the video is played. 19. The computer readable medium of claim 18, wherein displaying the indicia of interest of the user for each portion of the video comprises: generating a heat map; and displaying the heat map with the video. 20. The computer readable medium of claim 19, wherein the user reaction is determined by: accessing an output from the camera; performing facial detection and motion detection on the output to identify changes in at least one of eye movements, head movements, and facial expressions of the user; and mapping the changes in eye movement, head movement and facial expressions to user reactions.