article thumbnail

Run an audience overlap analysis in AWS Clean Rooms

AWS Machine Learning

One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. The analysis helps determine how much of the advertiser’s audience can be reached by a given media partner. Choose Configure new table.

article thumbnail

Real-time analysis of customer sentiment using AWS

AWS Machine Learning

Traditionally, this data is collected via a batch process and sent to a data warehouse for storage, analysis, and reporting, and is made available to decision-makers after several hours, if not days. Use cases for real-time sentiment analysis. The Amazon Comprehend sentiment API identifies the overall sentiment for a text document.

APIs 69
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Introducing Amazon Textract Bulk Document Uploader for enhanced evaluation and analysis

AWS Machine Learning

Unlike the existing Amazon Textract console demos, which impose artificial limits on the number of documents, document size, and maximum allowed number of pages, the Bulk Document Uploader supports processing up to 150 documents per request and has the same document size and page limits as the Amazon Textract APIs.

APIs 72
article thumbnail

Facebook’s Conversion API – what marketers need to know

Infinity

So, in autumn 2021, when Facebook partnered up with Amazon and launched the Conversion API Gateway, it was a very exciting day for Facebook advertisers. When talking Facebook and data, you’re likely to come across two key models – the Conversion API Gateway and the Facebook Pixel, but what’s the difference?

APIs 52
article thumbnail

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. This is where advanced log analysis comes into play. Choose Open Jupyter to start running the Python script for performing the log analysis.

Scripts 74
article thumbnail

Visual AI For Service Automation: A Primer

TechSee

In VI Studio, we use sub-component analysis to identify each of the parts of the object and their status. For example, when classification analysis recognizes the Linksys MX8503 Atlas WiFi 6E, the sub-component analysis will tell you which LEDs are lit up, what color they are, and what plugs are in the correct ports.

APIs 109
article thumbnail

Multi-Channel Tone Analysis in PHP with Amazon Comprehend

Nexmo

The objective for this example is to use Amazon Comprehend to retrieve the tone analysis for an entire conversation, by channels, and then add the results to an RDS MySQL database instance. Your app is now updated to include tone analysis with the conversation content, going forward. serverless deploy. Next Steps.

APIs 62