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
Inferring The World's Gender and Ethnic Diversity using Personal Names
LinkedIn has become the largest professional network, globally. It is a rich source of data for social researchers working on
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.
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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