Patent ID: 11907672
Assignee: REFINITIV US ORGANIZATION LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer system to classify content based on a machine-learning natural language processing (ML-NLP) classifier, the computer system comprising:
a processor programmed to:
receive content comprising natural language text;
access an identification of a plurality of topics of interest, which are received from a user, that are associated with a domain;
provide an input based on the content to the ML-NLP classifier, the ML-NLP classifier being based on a base model having a plurality of layers that is pre-trained on a general corpus of data, and then further pre-trained a domain-specific corpus of data specific to the domain, wherein at least one output layer for performing a classification task that predicts whether the content relates to one of the plurality of topics of interest is appended to the base model, wherein the base model with the at least one appended output layer is further trained on a topic-specific corpus of data labeled according to the plurality of topics of interest, wherein the general corpus of data, the domain-specific corpus of data, and the topic-specific corpus of data are independent of one another;
generate, as an output of the ML-NLP classifier using the at least one output layer for performing the classification task, a prediction that the content relates to a corresponding topic from among the plurality of topics of interest; and
generate a report based on the one or more classifications.