Q: What kinds of data does the solution ingest?
A: The solution's default implementation supports two sources: 1) Twitter and 2) Public RSS feeds from across ~4,000 news sites worldwide; however, you can customize the solution to ingest other digital assets from social media platforms or internal systems within organizations.
The solution uses Twitter’s Search API to ingest feeds. The Twitter Search API allows you to search for terms in tweet text and apply geo coordinate filters.
The solution uses RSS feeds to ingest different topics including: tech, news, business, science, finance, food, politics, economics, travel, entertainment, music, and sports. You can filter any RSS terms based on your needs.
Q: What machine learning inferences does the solution provide?
A: The solution uses Amazon Translate to translate non-English tweets into English; Amazon Comprehend to perform topic modeling, sentiment analysis, entity detection, and key phrase detection on text; and Amazon Rekognition to detect embedded text and content moderation labels in images. The detected text within an image is also subject to topic modeling, sentiment analysis, entity detection, and key phrase detection.
Q: What kind of reports does the solution generate?
A: The solution includes a pre-built Amazon QuickSight dashboard, but you can use any reporting tool. For more information about the QuickSight dashboard in this solution, refer to the Discovering Hot Topics Using Machine Learning Solution Implementation Guide.
Q: Can I deploy the solution in any AWS Region?
A: No, this solution uses Amazon Comprehend, Amazon Rekognition, Amazon Translate, and Amazon EventBridge, which are currently available in specific AWS Regions only. Therefore, you must launch this solution in an AWS Region where these services are available. For the most current availability by Region, refer to the AWS Regional Services List.
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