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datamade/usaddress

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:us: a python library for parsing unstructured United States address strings into address components

5 mentions on Hacker News by 5 people: 0 stories, 5 comments · first 2015-03-28 · latest 2021-06-16

Mentions per year 5 mentions · busiest year 2021 (2)
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  1. Some more great probabilistic python libraries: https://github.com/datamade/usaddress - "usaddress is a Python library for parsing unstructured address strings into address components, using advanced NLP methods."…
    comment by acidbaseextract · 2021-06-16 · in PyWhat: Identify Anything
  2. For address parsing, I've had good luck with this package: https://github.com/datamade/usaddress
    comment by sparklingmango · 2021-02-24 · in Fuzzy Name Matching in Postgres
  3. …the addresses, but I had about a 50% success rate with them. 2. Tokenization raw addresses with https://github.com/datamade/usaddress . 3. Use a normalized levenstein distance algo to get ratio of difference. 4. Compare all of the…
    comment by bpchaps · 2018-08-14 · in Using FOIA Data and Unix to halve major source of parking tickets
  4. …uses probabilistic string parsing on addresses. You can even add labeled data to improve accuracy: https://github.com/datamade/usaddress
    comment by zbyte64 · 2016-11-20 · in Ask HN: What's a good US address parsing library?
  5. The most principled approach I've seen on this is at https://github.com/datamade/usaddress . They use tagged training data and conditional random fields. I haven't seen comparisons with other systems, but it's worked well enough for my…
    comment by unclesaamm · 2015-03-28 · in A fast, offline reverse geocoder in Python