Patent · US Active

Machine-learning natural language processing classifier for content classification

US11907672B2 · kind B2 · utility

0Cited by

1References

20Claims

0Family size

Assignee

REFINITIV US ORGANIZATION LLC · US

Inventors

Tim Nugent · London, GB
Matt Harding · Bristol, GB
Jochen Lothar Leidner · London, GB

Key dates

Filing date	Jun 4, 2020
Grant date	Feb 20, 2024
Priority date	—
Expiry date	Nov 27, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/096
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Computer-readable media, systems and methods may improve classification of content based on a machine-learning natural language processing (ML-NLP) classifier. The system may train a general language model based on a general corpus, further train the general language model based on a domain-specific corpus to generate a domain-specific language model, and conduct supervised machine-learning based on the domain-specific language using topic-specific corpus labeled as relating to topics of interest to generate the ML-NLP classifier. Accordingly, the ML-NLP classifier may be trained on a general corpus, further trained on a domain-specific corpus, and fine-tuned on a topic-specific corpus. In this manner, domain-specific content may be classified into topics of interest. The ML-NLP classifier may classify content into the topics of interest.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.