tag health-life-science 
mention
APRIL 11, 2024
With sentiment analysis, one can extract invaluable insights from customer feedback, predict market trends, and even monitor brand health. This method utilizes a dictionary, or lexicon , of words each tagged with their respective sentiment scores—imagine “ happy ” as +1 and “ sad ” as -1.
CIO
AUGUST 15, 2023
Whether a project aims to improve suicide prevention using data science or to create new revenue streams by reimagining an organization’s core business, CIO 100 Award winners demonstrate the innovative spirit of today’s IT in the face of rapidly evolving organizational challenges.
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Evalueserve
JUNE 18, 2021
Overgeneralization of frameworks and deliverables across sectors, when each sector needs a unique lens (for example, intelligence on the life sciences sector will need to focus more on patents and therapeutic areas). Siloed efforts across teams – knowledge on an account or sector does not permeate across teams.
Netbasequid
APRIL 21, 2023
Kathleen Rogers, President of EarthDay.org , said, “We must come together to fight for the green revolution and the health of future generations.” Attendees are encouraged to pick up their “Passport to Fun” and explore NASA Science through the various exhibits and activities. Who are they?
Alpha Sense BI
APRIL 28, 2023
commercial health insurance plans, third-party health insurance plan administrators, and government programs such as Medicare and Medicaid ) more for prescription drugs than they pay the pharmacy and then keep the difference. Brand-name drugs have an even heftier price tag, as the gap between prices in the U.S. is averaging 3.44
Netbasequid
FEBRUARY 1, 2021
Earnings call transcripts : Allows brands a unique window into brands and industries’ health by examining the main themes discussed by executives during earnings calls. From here, the data can be separated into relevant tags to isolate areas of interest to your brand. Gain insight into how employees feel about their employers.
Netbasequid
APRIL 7, 2021
Thanks to data science and artificial intelligence, machine learning can mine the rich resources of text data and break it down into its components to identify themes, sentiment, trends and many other indicators found within. Text analysis is the process of sorting, analyzing and gaining insight from text sources. Text Categorization.
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