GitHub / aws-samples / news-clustering-and-summarization
This repository contains code for a near real-time news clustering and summarization solution using AWS services like Lambda, Step Functions, Kinesis, and Bedrock. It demonstrates how to efficiently process, embed, cluster, and summarize large volumes of news articles to provide timely insights for financial services and other industries.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws-samples%2Fnews-clustering-and-summarization
PURL: pkg:github/aws-samples/news-clustering-and-summarization
Stars: 25
Forks: 3
Open issues: 5
License: mit-0
Language: HCL
Size: 11.2 MB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: about 2 months ago
Pushed at: 23 days ago
Last synced at: 18 days ago
Topics: aws, bedrock, clustering, dbscan, embeddings, evaluation, genai, generativeai, machinelearning, news, summarization