Today, Thursday 5 May, is being celebrated worldwide as the International Day of the Midwife, organised by the International Confederation of Midwives.
The White Ribbon Alliance ran a campaign called Midwives’ Voices, Midwives’ Demands, where they asked more than 56,000 midwives and health workers around the world about what they want and need to better serve women in their care and for themselves as midwives.
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We have set up an interactive dashboard for White Ribbon Alliance which allows users to explore the respondents’ demands in free text, and visualise them into handy charts, word clouds, and a map view. The dashboard used natural language processing techniques such as supervised learning and text classifiers to categorise the responses into groups.
Screenshot of the Midwives’ Voices, Midwives’ Demands interactive NLP dashboard. Click here to explore the dashboard.
The White Ribbon Alliance has launched the dashboard today to celebrate the International Day of the Midwife, and are hoping to raise awareness of the need to improve the status of midwifery in healthcare systems today.
The Midwives’ Voices, Midwives’ Demands follows on from the groundbreaking What Women Want campaign, where White Ribbon Alliance collected 1.2 million responses from women around the world about their healthcare needs. You can explore the What Women Want campaign dashboard here.
If you would like an interactive NLP dashboard for your project, you can read more about what we can achieve here.
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This new video explains natural language processing: what it is, how it works, and what can it do for your organisation. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that focuses on giving computers the ability to understand human language, combining disciplines like linguistics, computer science, and engineering.
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See also: Fast Data Science A/B test Calculator (Bayesian) A/B testing is a way you can test two things, Thing A, and Thing B, to see which is better. You most commonly hear about A/B testing in the context of commercial websites, but A/B testing can be done in a number of different contexts, including offline marketing, and testing prices.
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