Inferring The World's Gender and Ethnic Diversity using Personal Names
We’ve used a non-supervised clustering algorithm to identify Russian (Ivanov, Popov), Korean (Kim, Pak) and other names in Kazakhstan and differentiate them from Kakakh names (AZAMAT ABDRAKHMANOV, ERLAN AHMETOV, AIGUL ABDRAKHMANOVA / AYGUL ABDRAKHMANOVA …)
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.
The Association of European Businesses (AEB) gathers the largest European foreign investors in Russia and celebrates its 20 years of
We’ve now integrated RussoScopie – a service to monitor the Russian Media and access valuable databases about the businesses in
Millions of geo tweets in various languages, discussing anything from ‘hey, I’m here‘ to finance, geopolitics or marketing. How do
To jump directly to the interactive map, click here : http://cdb.io/1beWaVB (onomastics.co.uk reblog) It’s been a while since I published a first
This is a reblog of ParisTech Review original article. Can name data mining help economic development? As of today, the main
There has been a lot of confusion last week, in the aftermath of the identification of two suspect terrorists in
Business intelligence firm AESMA used NamSor name recognition software to analyze the coverage by the Russian media of Arab personalities and
Can the Big Data help make cities Smart AND Inclusive ? DataTuesday (Paris) : translation a presentation given on the 26th
NamSor Blog 
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