Determining trends using text mining
US6532469B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 1999 |
| Grant date | Mar 11, 2003 |
| Priority date | — |
| Expiry date | Sep 20, 2019 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99943
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for visualizing variations in a corpus of information. The corpus includes a plurality of information entries, which are divided into a plurality of sub-groups according to a differentiating parameter of the entries. For each of the entries, characteristics of information contained therein are extracted and pairs of different characteristics that appear together in at least one of the entries are found. An occurrence value is determined for each of the pairs of characteristics in each sub-group in which both of the characteristics appear. The occurrence values of at least some of the pairs of characteristics for at least two of the sub-groups are compared, and an indication of the comparative occurrence values of the pairs is provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.