根据中文名字判断性别，根据姓名的汉语拼音找到相似的中文名字，最大可能的用中文姓名识别身份和了解你的客户
根据中文名字判断性别，根据姓名的汉语拼音找到相似的中文名字，最大可能的用中文姓名识别身份和了解你的客户
Category: Gender
NamSor connector for Algolia
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.
A gender add-on for PowerBI
With our open source connector, any PowerBI table that has personal names can be enriched with gender information or other diversity analytics (country of origin / ethnicity …)
Personal names to study diversity?
French researchers have used patronyms to explore diversity amongst different population groups and professions. In France, where ethnic statistics are not collected, this new approach provides interesting insights about French society.
The Gender Gap in Computer Science — A Bibliometric Analysis
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 : bibliometric indicators to measure women’s contribution to scientific publications
Science-Metrix develops bibliometric indicators to measure women’s contribution to Science, based on NamSor Gender API.
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
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.
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