Understanding NamSor API precision for Gender inference
Using a library or an APIs to infer the gender from a given name, is a common way to fix
Category: Gender
Gender in the Global Research Landscape Report
A new research by Elsevier used NamSor Gender API along with other methods, to provide an analysis of research performance through
Social listening : breaking down Twitter opinion by gender and location
A new paper published in the Global Journal of Enterprise Information System explores how social media analysis can be applied to
Cultural biases in African bibliometrics
Yvonne Mburu is a scientist from Kenya and founder of Med in Africa. She wants to create a global network of African scientists and health professionals to tackle the cultural biases that affect the visibility of African science.
Genderizing LinkedIn for Social Studies
LinkedIn has become the largest professional network, globally. It is a rich source of data for social researchers working on
Ivory Coast (Côte d’Ivoire) baby names
Top 20 baby names of Ivory Coast (Côte d’Ivoire). We’re working hard to make NamSor the best API to process African names, both for Gender studies as well as Diaspora studies.
What’s the Gender Gap at #VivaTech 2017?
35% of ~581 speakers at VivaTech 2017 were women. Now, anyone can help dis-aggregate gender data, simply by inferring gender accurately from personal names.
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