Invention Grant
- Patent Title: Correcting existing predictive model outputs with social media features over multiple time scales
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Application No.: US14255512Application Date: 2014-04-17
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Publication No.: US10346752B2Publication Date: 2019-07-09
- Inventor: Hyung-il Ahn , William Scott Spangler
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F16/00 ; G06Q10/00 ; G06Q50/00

Abstract:
Methods, systems, and computer program products for correcting existing predictive model outputs with social media features over multiple time scales are provided herein. A method includes examining multiple items of user content derived from one or more social media sources during a given time period to identify one or more items of user content pertaining to a target entity; analyzing the items of user content pertaining to the target entity to determine one or more predictive features in the items of user content related to a target variable associated with the target entity; computing a correlation measure between each of the predictive features and the target variable; and modifying an output of an existing predictive model associated with the target variable via incorporation of the predictive feature with the highest correlation measure into the output of the existing predictive model to generate an updated predictive output.
Public/Granted literature
- US20150302315A1 Correcting Existing Predictive Model Outputs with Social Media Features Over Multiple Time Scales Public/Granted day:2015-10-22
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