Social media data mining for early detection of newsworthy civil unrest events
US9953080B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 3, 2014 |
| Grant date | Apr 24, 2018 |
| Priority date | — |
| Expiry date | Oct 25, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/101
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Described is system for early detection of civil unrest events. A set of textual social media data having corresponding user identifications is received as input. The textual social media data is filtered with a keyword filter, resulting in a first set of data comprising keywords of interest. The first set of data is then filtered with a future date filter, resulting in a second set of data comprising future dates. The second set of data is filtered based on relevance to a civil unrest event with a text classifier module, resulting in a third set of data that is classified based on relevance to the civil unrest event. The third set of data is then filtered based on a location of interest, resulting in a fourth set of data having user identifications in the location of interest. A location is assigned to the civil unrest event, and a forecast of the civil unrest event is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.