Machine Learning
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Reviewer
Title: PM
Summary
Product Usage: The product was used to analyze biotech news, specifically to accurately label company characteristics, drugs, and medical compounds involved in FDA approvals or rejections which aids in making trading decisions.
Strengths: High accuracy in extracting and labeling medical information in text and the provision of relevant context which is essential for trading decisions.
Weaknesses: The product’s latency and over-labeling were initially problematic, and users must create their own tooling to cater the product to their specific needs.
Overall Judgment: The product greatly aids in parsing medical text but can be improved if pre-built scaffolding is included for users, easing the process of application development.
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