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ANALYZING COMMUNICATION AND DETERMINING ACCURACY OF ANALYSIS BASED ON SCHEDULING SIGNAL

  • US 20180349787A1
  • Filed: 06/26/2014
  • Published: 12/06/2018
  • Est. Priority Date: 06/26/2014
  • Status: Abandoned Application
First Claim
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1. A computer-implemented method, comprising:

  • analyzing, by a computing system using a machine learning classifier, a communication to or from a user to identify an event assumption;

    determining, by the computing system based on one or more scheduling signals, an accuracy of the assumption, wherein the one or more scheduling signals include an actionable item created based on content of the communication, wherein the actionable item includes a textual segment of the communication containing an address of an event associated with the event assumption, wherein selection of the actionable item opens an application that is operable for real time navigation to the address; and

    training, by the computing system, the machine learning classifier based at least in part on the accuracy.

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