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Show HN: Predict country of origin from a name

letmeguesswhereyourefrom.com

3 points by cvsv 10 years ago · 4 comments

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cvsvOP 10 years ago

Behind the scenes here: http://nxn.se/post/127065307170/let-me-guess-where-youre-fro... :)

  • byoung2 10 years ago

    Thanks for the write up. We're taking a similar approach at my startup to classify business reviews. The breakthrough for us came when we split the reviews into sentences and did N-gram analysis at the sentence level. The challenge is that the most significant N-grams (e.g. N > 2) have such low frequency that there isn't much data to train on. Our current approach is to try to coax patterns out of the N-grams (e.g. "salesman was rude" and "manager was mean" become "[employee]=[negative]"). I do like the top 5 approach, and I think I'll see if I can work that into our approach.

byoung2 10 years ago

Very accurate for the names I've tried...impressive. What is the source? Wikipedia?

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