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Human resource analytics with profile data

  • US 10,445,663 B2
  • Filed: 04/05/2012
  • Issued: 10/15/2019
  • Est. Priority Date: 06/30/2011
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving, via one or more computing devices, historical project data, wherein the historical project data includes at least one profile of at least one historical project team member, one or more historical project requirements, and one or more historical project results;

    determining, via the one or more computing devices, psychometric data associated with the at least one historical project team member through sentiment analysis of at least one social networking source, wherein the psychometric data includes psychological characteristics and mental abilities of the at least one historical project team member, wherein sentiment analysis includes computationally identifying and extracting, via the one or more computing devices, at least one of a positive, negative, and neutral sentiment from at least one of a post and a comment from the at least one social networking source, wherein the at least one social networking source includes at least one of a blog, a social networking site, and a social interaction site;

    generating, via the one or more computing devices, updated historical project data including, at least in part, adding the psychometric data associated with the at least one historical project team member to the at least one profile included in the historical project data;

    receiving, via the one or more computing devices, one or more new project requirements associated with a new project;

    identifying, via the one or more computing devices, a similarity between the one or more historical project requirements and the one or more new project requirements, including comparing the psychometric data of the at least one historical project team member to the new project requirements;

    identifying, via the one or more computing devices, an indication of success associated with the psychometric data included in the updated historical project data and with the one or more historical project requirements identified as similar to the one or more new project requirements;

    determining, via the one or more computing devices, a set of modified project requirements for the new project based upon, at least in part, identifying the indication of success and the psychometric data associated with the at least one historical project team member determined through sentiment analysis; and

    determining a ranked list of various possible team compositions that are optimal for the one or more new project requirements based upon, at least in part, the psychometric data associated with the at least one historical project team member determined through sentiment analysis.

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