Incredible India is the name of successful place marketing initiative launched in 2002 by the Indian Government using the incredible diversity of India in terms of colors, landscapes, people, languages etc. to promote tourism in India. Because of this same diversity, Indian onomastics are a tough nut to crack. At NamSor, we’ve opened a free API to predict the gender of personal names according to the various languages and cultures (Andrea Rossini is male, Andrea Parker is female, Jean Durieux is …). We aim for 95 to 99% accuracy and 95 to 99% recall, in every country where possible.
NEW! We have added a new API specific for Indian personal names. which classifies names by Gender, by Indian state or Union territory, by Religion and by Caste group.
This work is important. The status of women in India is a very current issue. At NamSor, we believe in the value of open data mining initiatives -such as Gender Gap Grader– to advance the empowerment of women worldwide. So we work hard to understand how names vary in different states of India, different regions. For example, below are the most frequent male/female names in Delhi.
Most popular female and male names in Delhi, India
Name | Female | Male | Likely Gender | Total | Pct |
Sunita | 51526 | 82 | Female | 51614 | 0.5% |
Poonam | 33524 | 79 | Female | 33603 | 0.3% |
Raj Kumar | 127 | 33313 | Male | 33440 | 0.3% |
Anita | 32816 | 45 | Female | 32861 | 0.3% |
Ashok Kumar | 29 | 29747 | Male | 29776 | 0.3% |
Manoj Kumar | 35 | 29197 | Male | 29232 | 0.3% |
Anil Kumar | 32 | 28943 | Male | 28975 | 0.3% |
GEETA | 28547 | 30 | Female | 28577 | 0.3% |
Sunil Kumar | 27 | 27438 | Male | 27465 | 0.3% |
Santosh | 22557 | 4465 | Both | 27022 | 0.3% |
About NamSor
NamSor™ Applied Onomastics is a European designer of name recognition software. NamSor is committed to promote diversity and equal opportunity. NamSor launched GendRE API, a free API to extract gender from personal names. We support the @GenderGapGrader initiative.
About GenderGapGrader
GenderGapGrader’s mission is to publish gender gap estimates at the finest grain level, using whatever reference database we can identify for a particular industry: The Internet Movie Database (IMDB) for the film industry, “The Airman Database” for pilots… and more to come.
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