Discovering terms using statistical corpus analysis
US10592605B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 27, 2015 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Mar 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Software that extracts contextually relevant terms from a text sample (or corpus) by performing the following steps: (i) identifying a first term from a corpus, based, at least in part, on a set of initial contextual characteristic(s), where each initial contextual characteristic of the set of initial contextual characteristic(s) relates to the contextual use of at least one category related term of a set of category related term(s) in the corpus; (ii) adding the first term to the set of category related term(s), thereby creating a revised set of category related term(s) and a set of first term contextual characteristic(s), where each first term contextual characteristic of the set of first term contextual characteristic(s) relates to the contextual use of the first term in the corpus; and (iii) identifying a second term from the corpus, based, at least in part, on the set of first term contextual characteristic(s).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.