Zignal Labs enhances sentiment analysis by leveraging Amazon SageMaker, Amazon EC2 C5 instances, and AWS Lambda to process billions of media stories per month. The company built a machine-learning pipeline that improves sentiment precision by 30% and reduces operational costs by 90%. Using Amazon Kinesis and Apache Spark, Zignal ingests, processes, and classifies digital media content in real-time, helping businesses protect brand reputation and make data-driven decisions. AWS automation enables daily retraining of sentiment models, delivering scalable, high-quality media intelligence at lower costs.

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