Patent ID: 11922469
Assignee: S&P GLOBAL INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 13:
14. A computer system comprising:
a number of processor units, wherein the number of processor units executes program instructions to:
ingest news articles from a plurality of news sources;
extracting named entities from each news article to generate a one-hot vector for each news article using a statistical model;
cluster the news articles into clusters based on the one-hot vectors for the news articles;
select a representative news article for each cluster in the clusters;

convert each word of each representative news article into a word representation based on character embeddings using a machine learning model;
model characteristics of use and characteristics of use across linguistic context for each word of each representative news article using the machine learning model;
input word representations into a convolutional layer followed by a max-pool layer in the machine learning model to generate an input representation for each representative news article;
generate a sentence representation for each representative news article based on the input representations for each representative news article using the machine learning model;
merge clusters in the clusters based on semantic of each representative news article in each cluster to form merged clusters using the sentence representation for each representative news article;
generate a set of ranked clusters using the merged clusters;
digitally display the set of ranked clusters in a graphical user interface; and
manipulate a number of controls in the graphical user interface to perform an action to the set of ranked clusters on the graphical user interface.