Identifying information related to a particular entity from electronic sources, using dimensional reduction and quantum clustering
US8744197B2 · kind B2 · utility
5Cited by
9References
12Claims
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Key dates
| Filing date | Aug 16, 2012 |
| Grant date | Jun 3, 2014 |
| Priority date | — |
| Expiry date | Aug 16, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2135
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.