Every publication has a rich set of documents that contain information about different domains. If used wisely, they can prove to be a golden set for companies operating in domains like pharma, medical, or financial institutions. For example, today it takes any pharmaceutical company up to 12 years and $2 billion to bring a single new drug to market. This talk explains how we can apply Spark ML to tag 100s of thousands of documents. Applying ML will not only make tagging process faster & less expensive but also can explore new fields which are overlooked by SMEs.
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