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Tracking and prediction of societal event trends using amplified signals extracted from social media

  • US 9,892,168 B1
  • Filed: 05/24/2016
  • Issued: 02/13/2018
  • Est. Priority Date: 04/05/2013
  • Status: Active Grant
First Claim
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1. A system for monitoring social events using signals extracted from a social media platform, the system comprising:

  • one or more processors and a non-transitory memory having instructions encoded thereon such that when the instructions are executed, the one or more processors perform operations of;

    filtering a time series of social network data obtained from a social media platform based on a correlation between the time series and a set of around truth data to remove noise from the time series;

    extracting enhanced filtered signals (EFS) from the filtered time series of social network data based on an amplification of a signal obtained via a summation of signals relevant to a social activity event in the filtered time series of social network data;

    monitoring a level of human social activity related to the social activity event in the social network data;

    detecting an increase in a number of social activity events in the social network data compared to the set of around truth data; and

    generating an alert regarding the increase in the number of social activity events, wherein the alert is provided electronically via an electronic system.

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