Inferring The World's Gender and Ethnic Diversity using Personal Names
For International Women’s Day, one blog post and one large study by European Commission illustrate how NamSor can be used to produced an analysis of the gender gap in a particular field, using open databases.
n this fresh study, “Implicit Mentoring The Unacknowledged Developer Efforts in Open Source”, Zixuan Feng, Amreeta Chatterjee, Anita Sarma, and Iftekhar Ahmed characterize implicit mentoring in software development and examine gender behavioural differences.
Romanization of Japanese names is easy, but translating a Japanese name back to its original form in Kanji with the correct probabilities is hard. There are many Kanji variants for a single Japanese name in its romanized form.
In the early 19th century, the Americo-Liberian settlers encountered ethnically, linguistically diverse tribal populations. Even today, names reflect the diversity of populations in Liberia. Some names appear very similar to names of Afrlcan-Americans. Some other names reflect indigenous cultures.
We used NamSor ML to discover three groups of names, among male names and female names in Tatarstan. For each group, we show the most frequent given names and family names.
You can now enrich SalesForce contacts with gender information purely based on their names. The new add-on component was released
Since 2018, NamSor has been used append gender to authors in RePEC (Research Papers in Economics). Overall, 25.8% of economists are female.
If you are unfamiliar with North-Macedonian language and culture, you might think that МАРЈАН is a female name, right? Well it’s not. It’s most likely a male name.
We’ve released a new version of the opensource Java Naive Bayes Classifier (JNBC), so it can now run on RocksDB
New research used NamSor Gender API to allocate likely gender to authors in The Lancet Global Health scientific journal. Findings
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