Semantic-free text analysis for identifying traits
US9508360B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 28, 2014 |
| Grant date | Nov 29, 2016 |
| Priority date | — |
| Expiry date | May 31, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/63
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system, and/or computer program product uses speech traits of an entity to predict a future state of the entity. Units of speech are collected from a stream of speech that is generated by a first entity. Tokens from the stream of speech are identified, where each token identifies a particular unit of speech from the stream of speech, and where identification of the tokens is semantic-free. Nodes in a first speech graph are populated with the tokens, and a first shape of the first speech graph is identified. The first shape is matched to a second shape, where the second shape is of a second speech graph from a second entity in a known category. The first entity is assigned to the known category, and a future state of the first entity is predicted based on the first entity being assigned to the known category.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.