Topic models
US8645298B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2010 |
| Grant date | Feb 4, 2014 |
| Priority date | — |
| Expiry date | Apr 5, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning techniques may be used to train computing devices to understand a variety of documents (e.g., text files, web pages, articles, spreadsheets, etc.). Machine learning techniques may be used to address the issue that computing devices may lack the human intellect used to understand such documents, such as their semantic meaning. Accordingly, a topic model may be trained by sequentially processing documents and/or their features (e.g., document author, geographical location of author, creation date, social network information of author, and/or document metadata). Additionally, as provided herein, the topic model may be used to predict probabilities that words, features, documents, and/or document corpora, for example, are indicative of particular topics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.