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Post a JobRegister for the launch event on 29 March 2021 here (registration has passed). Click here to visit the dashboard.
Visit our What Women Want dashboard!
Fast Data Science - London
Fast Data Science has been working on a digital Natural Language Processing dashboard for White Ribbon Alliance (WRA). WRA is a global nonprofit which promotes reproductive, maternal and newborn health and rights.
In 2019, WRA did a survey called What Women Want, where they asked over a million women and adolescent girls around the world:
What is your top request for your maternal and reproductive healthcare?
From 25 March 2021, you will be able to explore their responses on our interactive dashboard, powered by Plotly Dash and Python and running on Google Cloud Platform.
Using bespoke Natural Language Processing, we have categorised their responses into 39 categories, such as Water, Sanitation, and Hygiene (WASH). Using our dashboard, you can see clearly how survey responses in natural language are related to age, location, and type of ask. We even have an N-gram explorer view (unigrams, bigrams, trigrams).
Please click here (registration has passed) to register for the launch event on 25 March at midday UK time.
Unleash the potential of your NLP projects with the right talent. Post your job with us and attract candidates who are as passionate about natural language processing.
Hire NLP Experts
Can AI handle legal questions yet? We have compared the capabilities of the older and newer large language models (LLMs) on English and Welsh insolvency law questions, as a continuation of the Insolvency Bot project.
We developed a tool using Natural Language Processing for a client in the pharmaceutical space to assist experts to estimate the risk of a clinical trial ending uninformatively.
The Clinical Trial Risk Tool has been featured in a guest column by Thomas Wood, director of Fast Data Science, in Clinical Leader, titled A Tool To Tackle The Risk Of Uninformative Trials, in cooperation with Abby Proch, Executive Editor at Clinical Leader.
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