Method of automated discovery of topics relatedness
US9542477B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2014 |
| Grant date | Jan 10, 2017 |
| Priority date | — |
| Expiry date | Jan 23, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9538
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer system and method for automated discovery of topic relatedness are disclosed. According to an embodiment, topics within documents from a corpus may be discovered by applying multiple topic identification (ID) models, such as multi-component latent Dirichlet allocation (MC-LDA) or similar methods. Each topic model may differ in a number of topics. Discovered topics may be linked to the associated document. Relatedness between discovered topics may be determined by analyzing co-occurring topic IDs from the different models, assigning topic relatedness scores, where related topics may be used for matching/linking a feature of interest. The disclosed method may have an increased disambiguation precision, and may allow the matching and linking of documents using the discovered relationships.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.