By the end of the week, NamSor v1 will have processed over four billion names since we launched our API
What if you could build your a search engine with an inverted gender bias ? We’ve connected Algolia and NamSor API to search IMDB top 5000 movies.
Abstract— The low share of women in computer science is documented by many surveys. Most of these studies are based on registrations or enrolments of universities or other scientific institutions. In this paper, we present a new approach to a) analyse the gender gap in the group of scientists that are currently active in research and b) classify differences for different fields of computer science. This group comprises professors, industrial researchers, senior lecturers, postdoctoral researchers, and doctoral students shortly before finishing their theses. The proportion of women in a specific scientific area of computer science might provide valuable information for strategies to recruit women as postdocs or professors.
Science-Metrix develops bibliometric indicators to measure women’s contribution to Science, based on NamSor Gender API.
A new research by Elsevier used NamSor Gender API along with other methods, to provide an analysis of research performance through
[UPDATE September-2014 : watch the 3 minutes tutorial video] [UPDATE July-2014 : NamSor Onomastics Extension is now available in RapidMiner