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 filtering of 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 emoticon from multiple choice of emoticons; wherein the selected emoticon expresses user current emotion state;
aggregating all user feedback by a visual comments server for analyzing user comments and emoticon selections, wherein the analyzing includes calculating viewing and emoticon selection statistics of comments and analyzing emoticon selections responsive to other user comments;
based on said analysis filtering the comments or multimedia objects within a network page according to pre-defined parameters of emotion type;
wherein the analyzing is further based on a user profile which is updated on the basis of user reaction and selection of textual and multimedia comment characteristics, wherein the comment characteristics represent an emotional attitude of a user toward a comment and emotion type including at least one of: sad, happy, intellectual, maddening, worrisome, funny, or question;
wherein the analysis includes natural language processing (NLP) analysis of comments content, wherein the user profile provides emotional characteristics of the user to enable customized data content per user or group of users;
wherein updating user profile data serves as a basis for the emotion analysis;
wherein the filtering of each textual or multimedia comment/object is customized according to a user or users group profile, wherein the profile is dynamically updated on the basis of user reaction and selection of textual and multimedia comment characteristics.
2. The method of claim 1 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.
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 4 , wherein the characteristics analysis comprises natural language processing (NLP) or sentiment analysis of content of the textual or multimedia comments.
6. A system for filtering comments relating to content items or multimedia objects comprising a plurality of modules of program instructions embodied on a non-transitory 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 and/or 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 and/or or multimedia objects, where the second users react to comments or multimedia objects of the first users; and
enable a plurality of said first and/or or second users to react to ones of the content items and/or or multimedia objects by selecting one emoticon from a plurality of emoticons, wherein the selected emoticon expresses user current emotion state; 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 emoticon selections, wherein the analyzing include includes calculating viewing and emoticon selection statistics of comments and analyzing emoticon selections responsive to other users comments, and based on said analysis to filter the comments or multimedia objects within a network page according to pre-defined parameters of emotion type;
wherein the analyzing is further based on a user profile which is updated on the basis of user reaction and selection of textual and multimedia comment characteristics, wherein the comment characteristics represent an emotional attitude of a user toward a comment and emotion type including at least one of: sad, happy, intellectual, maddening, worrisome, funny, or question;
wherein the analysis includes natural language processing (NLP) analysis of comments content, wherein the user profile provides emotional characteristics of the user to enable customized data content per user or group of users;
wherein updating user profile data serves as a basis for the emotion analysis;
wherein the filtering of each textual or multimedia comment/object is customized according to a user or users group profile, wherein the profile is dynamically updated on the basis of user reaction and selection of textual and multimedia comment characteristics.
7. The system of claim 6 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.
8. The system of claim 6 wherein the organizing is correlated user emotional attitude.
9. The system of claim 6 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.
10. The system of claim 9 , wherein the characteristics analysis comprises natural language processing (NLP) or sentiment analysis of content of the textual or multimedia comments.