Amazon Web Services
Case Studies
Zignal Labs Performs Next-Level Sentiment Analysis Using Amazon SageMaker and Amazon EC2
Overview
Zignal Labs Performs Next-Level Sentiment Analysis Using Amazon SageMaker and Amazon EC2Amazon Web Services |
Analytics & Modeling - Machine Learning Infrastructure as a Service (IaaS) - Cloud Computing Platform as a Service (PaaS) - Data Management Platforms | |
Business Operation Sales & Marketing | |
Predictive Quality Analytics Real-Time Location System (RTLS) | |
Cloud Planning, Design & Implementation Services Data Science Services | |
Operational Impact
The new Zignal Labs sentiment pipeline is delivering results that show at least 30 percent improvement in precision compared to prior methods, helping the company win and retain customers. | |
The solution was built on AWS, increased accuracy is being delivered at much lower cost than would be possible using third-party sentiment-analysis solutions. | |
Building the new sentiment pipeline on AWS reduced the cost of both its initial development and ongoing operations by 90 percent. | |
Quantitative Benefit
Improved precision of sentiment analysis by 30% | |
Reduced development and operations costs by 90% | |