Method and system for social media burst classifications
US9213997B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2013 |
| Grant date | Dec 15, 2015 |
| Priority date | — |
| Expiry date | Aug 21, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/107
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
The present invention is directed to a method, system, and article of manufacture for systematically and automatically identifying abnormal or collective behavior patterns in microblogging messages that produce burst phenomena, such as Twitter storms. A microblogging storm engine in a storm detection server is configured to detect and classify the volume, shape, and type of a Twitter storm when keying on topics such as, but not limited to, a brand, an event, a person, an entity, a country, or a controversial issue. The microblogging storm engine comprises a storm detection module, a storm classification module, a database interface module, and a sentiment process module. The storm detection module is configured to detect different patterns of microblogging storms by capturing the volume of a particular storm to assist in output statistical analysis. The storm classification module is configured to classify the storms into different types of a particular storm category.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.