Document analysis system that uses machine learning to predict subject matter evolution of document content
US10402751B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 21, 2016 |
| Grant date | Sep 3, 2019 |
| Priority date | — |
| Expiry date | Jul 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes performing, by a processor: receiving a document containing subject matter related to a course of action, the document comprising a plurality of sub-documents that are related to one another in a time sequence, converting the document to a vector format to generate a vectorized document that encodes a probability distribution of words in the document and transition probabilities between words, applying a machine learning algorithm to the vectorized document to generate an estimated vectorized document, associating the estimated vectorized document with a reference document; predicting future subject matter contained in a future sub-document of the document based on the reference document, and adjusting the course of action responsive to predicting the future subject matter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.