System and method for organizing and designing comment
The present invention provides a method for determining and organizing multimedia content of a network page, related to reactions of at least one user to at least one common content object or context. The method comprising the steps of: receiving plurality of comments originated by different users relating one or more common multimedia object, wherein the user is required to define characteristics of their comment from multiple choice of definition types, enabling users to react to said comment by selecting one type of reaction from multiple choice of reaction types, wherein the each reaction type define different characteristics of the comment, analyzing comment characteristics as defined by the originator user and/or by reaction type; and selecting and organizing of comments and/or content objects which are related to the comments and/or and the relevant reactions according to the said analysis.
1. A method for managing and organizing comments relating to content items or multimedia objects, said method comprising the steps of:
receiving a plurality of textual comments or textual reactions or multimedia originated by one or more first users or second users where the first users react to a plurality of content items or common multimedia objects, where the second users react to comments or multimedia objects of the first users;
enabling a plurality of said first or second users to react to ones of the content items or multimedia objects by selecting one type of reaction from multiple choice of reaction types;
aggregating all user feedback by a visual comments server for analyzing user comments and feedback, wherein the analyzing includes calculating viewing and feedback statistics of comments and analyzing feedback comments to other user comments;
based on said analysis organizing the comments or multimedia objects within a network page according to pre-defined parameters of emotion type;
wherein the analysis further comprises checking user activities or selections or reactions in relation to the content or multimedia object, comprising at least one of: viewings ads, purchasing activities, reading content;
wherein the analyzing is further based on a user profile which is updated on the basis of user activities or selections or reaction of textual or multimedia comment characteristics;
wherein the organization and relative location of each textual or multimedia comment/object is customized according to a user or users group profile, wherein the profile is updated on the basis of user selection of textual or multimedia comment characteristics, wherein the user profile is dynamically updated based on user reaction selections;
wherein updating user profile data serves as a basis for the emotion analysis.
2. A system comprising a plurality of modules of program instructions embodied on a computer-readable medium, wherein execution of the modules of program instructions by a processor of a computer system causes the processor to manage and organize comments relating to content items or multimedia objects, said modules of said system comprised of:
a graphical user interface (GUI) module configured and operable to:
receive a plurality of textual comments or textual reactions or multimedia originated by one or more first users or second users, where the first users react to a plurality of content items or multimedia objects, where the second users react to comments or multimedia objects of the first users; and
enable a plurality of said first or second users to react to ones of the content items or multimedia objects by selecting one type of reaction from a plurality of reaction types; and
a processing module implemented on a server and configured and operable to aggregate all user feedback by a visual comments server for analyzing user comments and feedback, wherein the analyzing includes calculating viewing and feedback statistics of comments and analyzing feedback comments to other users comments, and based on said analysis to organize the comments or multimedia objects within a network page according to pre-defined parameters of emotion type;
wherein the analysis further comprises checking user activities or selections or reactions in relation to the content or multimedia object, comprising at least one of: viewings ads, purchasing activities, reading content;
wherein the analyzing is further based on a user profile which is updated on the basis of user activities or selections or reaction of textual or multimedia comment characteristics;
wherein the organization and relative location of each textual or multimedia comment/object is customized according to a user or users group profile, wherein the profile is updated on the basis of user selection of textual or multimedia comment characteristics, wherein the user profile is dynamically updated based on user reaction selections;
wherein updating user profile data serves as a basis for the emotion analysis.
3. The method of claim 1 wherein the organizing is correlated user emotional attitude.
4. The method of claim 1 further comprising dynamically analyzing characteristics of each of the plurality of textual or multimedia comments based on selected reaction types of the plurality of second users.
5. The method of claim 1 , wherein organizing include design layout of textual or multimedia comment or content objects.
6. The method of claim 1 , wherein the characteristics analysis comprises natural language programming (NLP) or sentiment analysis of content of the textual or multimedia comments.
7. The system of claim 2 wherein the filtering and organizing are correlated user emotional attitude.
8. The system of claim 2 wherein the analyzing further comprises dynamically analyzing characteristics of each of the plurality of textual or multimedia comments/objects based on selected reaction types of the plurality of second users.
9. The system of claim 2 , further comprising the step of organizing a layout of the plurality of textual comments or multimedia objects.
10. The system of claim 2 , wherein the analysis comprises neuro-linguistic programming or sentiment analysis of textual or multimedia comment content.
11. The system of claim 2 , wherein the analysis further comprises checking user activities in relation to the content item or multimedia object, comprising at least one of: viewings ads, purchasing activities, content written, content read, Video watching, user reactions.