I would rate Amazon Comprehend an eight out of ten because there is always room for improvement, especially in terms of accuracy. For those new to Comprehend, understanding its usage and reviewing the AWS documentation and instructional videos is essential. Additionally, evaluating whether developing custom NLP models could be more cost-effective is crucial.
Principal Data Scientist at a tech services company with 10,001+ employees
MSP
Top 10
Aug 2, 2024
Overall, I would rate the product an eight out of ten. I would recommend Amazon AWS Medical Comprehend for healthcare products because it does a good job extracting entities and does the classification.
Data Science Platforms empower data analysts to develop, evaluate, and deploy analytical models efficiently. They integrate data exploration, visualization, and predictive modeling in one cohesive environment.These platforms serve as indispensable tools for data-driven decision-making, providing intuitive interfaces and scalable computing power. They enable seamless collaboration between data scientists and business stakeholders, allowing actionable insights to drive strategic initiatives...
I would rate Amazon Comprehend an eight out of ten because there is always room for improvement, especially in terms of accuracy. For those new to Comprehend, understanding its usage and reviewing the AWS documentation and instructional videos is essential. Additionally, evaluating whether developing custom NLP models could be more cost-effective is crucial.
Overall, I would rate the product an eight out of ten. I would recommend Amazon AWS Medical Comprehend for healthcare products because it does a good job extracting entities and does the classification.