Decoders for predicting author age, gender, location from short texts
US9471944B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 25, 2013 |
| Grant date | Oct 18, 2016 |
| Priority date | — |
| Expiry date | Jun 5, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods for predicting demographics about authors of social media. A dataset relates features from social media messages to known demographic information about authors of the social media messages. The social media messages and known demographics may be retrieved from different social media services. Adjustable weights are associated with alternative demographic values for the features. The dataset is used to predict unknown demographics of users based on the adjustable weights associated with the alternative demographic values for extracted features from social media messages. A confidence level may be output for a predicted demographic that corresponds to a difference between a sum of weights associated with the predicted value and another demographic value. The predicted demographic value may be output when the confidence level exceeds a threshold. The weights may be updated when the confidence level is below the threshold even when the prediction is correct.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.