Event detection through text analysis using dynamic self evolving/learning module
US9910723B2 · kind B2 · utility
1Cited by
29References
10Claims
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Key dates
| Filing date | Jan 9, 2017 |
| Grant date | Mar 6, 2018 |
| Priority date | — |
| Expiry date | Jan 9, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for detecting events based on input data from a plurality of sources. The system may receive input from a plurality of sources containing information about possible events. A method for event detection involves pre-processing and normalizing a data input from a plurality of sources, extracting and disambiguating events and entities, associate event and entities, correlate events and entities associated from a data input to results from a different data source to determine if an event has occurred, and store the detected events in a data storage.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.