That same day, President Donald Trump announced a deal for the U.S. to buy 100 million doses of Moderna Inc.’s mRNA-1273, an experimental vaccine that uses messenger RNA to instruct the body to make the virus’s spike protein and hence generate antibodies.
To monitor the development of vaccines that will help the world fight off the coronavirus pandemic, turn to Bloomberg’s news and research tools.
Bloomberg’s powerful news feed aggregates as many as 180,000 sources. You can tap into it by using natural language to build a simple search. Just type “news on coronavirus and vaccines” in the command line of a terminal screen and press . A new article matching that search criteria appears every two minutes on average. You can reduce the flow to about three stories per hour if you narrow down the sources to Bloomberg, for example.
What’s going on under the hood with natural language searches such as this? In a nutshell: news indexing. It’s the underlying infrastructure that tags every one of the more than 2 million articles and half a million tweets that come over the Bloomberg wires each day. So natural language searches such as this find articles tagged to particular news indexing codes. In this case the search pulls in stories that have been coded to two topics: coronavirus and vaccines—{NI CORONAVIR } and {NI VACCINE }.
Complex Searches Made Easy
This story is from the October - November 2020 edition of Bloomberg Markets.
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This story is from the October - November 2020 edition of Bloomberg Markets.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 8,500+ magazines and newspapers.
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