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System and method for using network data to improve event predictions

  • US 10,452,729 B1
  • Filed: 08/19/2015
  • Issued: 10/22/2019
  • Est. Priority Date: 08/19/2014
  • Status: Active Grant
First Claim
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1. A system for using internet social network data for event predictions, the system comprising:

  • one or more processors and a memory, the memory being a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors perform operations of;

    receiving an internet social media post stream from an internet social network;

    generating and maintaining a social network database and an audit trail database;

    filtering new social media posts on the internet social network to extract new social media posts related to possible future civil unrest by searching text in each new social media post for keywords related to social unrest and a future date, passing the new social media posts through a text-oriented logistic regression classifier, and geo-coding the new social media posts, wherein the new social media posts are geo-coded based on an l1-multivariate median of locations of all users who have shared the new social media posts;

    comparing the new social media posts against the social network database and audit trail database to provide a quality score, the quality score representing a likelihood that at least one of the new social media posts is a true prediction of future civil unrest; and

    wherein if the quality score is determined to be true, publishing the detection as a true prediction of future civil unrest.

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