Modeling actions, consequences and goal achievement from social media and other digital traces
US10037367B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 15, 2014 |
| Grant date | Jul 31, 2018 |
| Priority date | — |
| Expiry date | Mar 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and computer storage media are provided for analyzing a large amount of social media data from a large population of social media users and constructing correlational data models between one or more events that occur within each user's timeline. Social media posts directed to personal experiences of a large number of social media users are extracted. Event timelines are generated for each of the social media users, based on their personal experiences. The event timelines are analyzed with a particular event of interest to measure correlations between events occurring within the timelines and the particular event of interest. Using the measured correlations, a correlational data model is thereby constructed. The correlational data model may be used for application to decision-making calculations by one or more systems in an active or passive manner.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.