{"id":47198318,"title":"Show HN: Name-classifier – infers attributes about a person from a name","points":2,"user":"defgeneric","time":1772301683,"time_ago":"9 hours ago","type":"link","content":"

This was based on an old project that I resurrected, improved, and repackaged with claude code.

It's useful for estimating demographics in large datasets from limited information, i.e. just a name.

It's also fairly good at separating given name and family names across a wide variety of languages and contexts.

Contains a standalone binary, embeddable shared lib, and a python wrapper.

Examples

CLI:

user@box » ./build/name-classifier -j -c "Carlos Eduardo Fernando Salazar Montemayor" | jq .

{\n "input": "Carlos Eduardo Fernando Salazar Montemayor",\n "script": "latin",\n "components": [\n {\n "token": "Carlos",\n "role": "given",\n "index": 0,\n "surname_score": 0.009\n },\n {\n "token": "Eduardo",\n "role": "given",\n "index": 1,\n "surname_score": 0.001\n },\n {\n "token": "Fernando",\n "role": "given",\n "index": 2,\n "surname_score": 0.01\n },\n {\n "token": "Salazar",\n "role": "family",\n "index": 3,\n "surname_score": 0.998\n },\n {\n "token": "Montemayor",\n "role": "family",\n "index": 4,\n "surname_score": 0.975\n }\n ],\n "attributes": {\n "gender": {\n "male": 0.9938,\n "female": 0.0062,\n "neutral": 0\n },\n "origin": {\n "english": 0,\n "french": 0,\n "germanic": 0,\n "nordic": 0,\n "iberian": 1,\n "italian": 0,\n "eastern_european": 0,\n "arabic": 0,\n "east_asian": 0,\n "south_asian": 0,\n "southeast_asian": 0\n }\n },\n "calibrated": true,\n "model_version": "embedded",\n "provenance": {\n "gender": {\n "lexicon": 0.598,\n "ngram": 0.302,\n "neural": 0.101\n },\n "origin": {\n "lexicon": 0,\n "ngram": 0,\n "neural": 0\n }\n }\n}

Python:

from name_classifier import NameClassifier

nc = NameClassifier(args.model_dir)

nc.classify("Kateryna Olha Mykhailivna Shevchenko")","url":"https://github.com/douglas-larocca/name-classifier","domain":"github.com","comments":[],"comments_count":0}