Patent ID: 9256670
Filing Date: 2016-02-09
CPC Classification: G06F,G06Q,H04L

Claim Text:
1. A computer-implemented method for visualizing social media conflict, the method comprising: collecting, by a computer, textual messages by a set of human users connected via a network regarding a particular topic; selecting, by the computer, active users in the set of human users authoring a number of textual messages regarding the particular topic more than a threshold number of textual messages; selecting, by the computer, keywords that occur more than a threshold number of times within the textual messages regarding the particular topic; computing, by the computer, a sentiment score for each of the keywords occurring more than the threshold number of times within the textual messages using a keyword co-occurrence graph; determining, by the computer, a sentiment of each of the active users based on the computed sentiment score of each of the selected keywords that are authored by a particular active user; selecting, by the computer, two distinct groups from the active users based on at least one of a relationship between the two distinct groups of active users and a determined degree of conflict between the two distinct groups of active users with regard to the particular topic; determining, by the computer, a degree of sentiment of each of the two distinct groups of active users based on the determined sentiment of each of the active users within the two distinct groups of active users; computing, by the computer, a degree of polarity between the two distinct groups of active users based on the determined sentiment of each of the active users within each of the two distinct groups of active users; and displaying, by the computer, a graph of the degree of sentiment of each of the two distinct groups of active users and the degree of polarity between the two distinct groups of active users.