Tracking and prediction of societal event trends using amplified signals extracted from social media
US9892168B1 · kind B1 · utility
11Cited by
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18Claims
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Key dates
| Filing date | May 24, 2016 |
| Grant date | Feb 13, 2018 |
| Priority date | — |
| Expiry date | May 24, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for tracking and predicting social events. The system filters a time series of data obtained from a social media source. Enhanced filtered signals (EFS) are extracted from the filtered time series data based on an amplification signal obtained via a summation of signals relevant to a process of interest in the filtered time series data. A level of human social activity in the social media source is monitored by comparing the extracted EFS to an event database to detect an increase in a number of social activity events in the social media source compared to the event database.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.