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  • Patent number: 9367603
    Abstract: There is provided methods and systems for analyzing data from a plurality of users within a social networking platform, comprising: receiving a query for a topic associated with the social networking platform; determining a set of users having at least one social networking behavior on the social networking platform related to the topic; selecting, for each user from the set of users, a pre-defined number of posts and associating each of the pre-defined number of posts with the respective user; segmenting the selected posts for each user to determine a likelihood of each of the selected posts among the set of users; and, clustering the selected posts for each user to define a plurality of clusters and determining a mapping from each user to at least one of the plurality of clusters, each cluster comprising representative topics indicating frequently used topics within the cluster for the pre-defined number of posts between the set of users.
    Type: Grant
    Filed: November 4, 2014
    Date of Patent: June 14, 2016
    Assignee: SYSOMOS L.P.
    Inventors: Brian Jia-Lee Keng, Edward Dong-Jin Kim