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I'm looking to do some text analysis on complaints or requests filed at cities or municipalities.

The data must have:

  • type of complaint (e.g. "Noise complaint")
  • complaint text (e.g.: "The people in the building across from me are having a party")

It would also be nice if there's more meta-data, such as:

  • time of complaint
  • location
  • responsible department (e.g. "Police" or "Fire dept.")
  • response (e.g. "warning issued")
  • time of resolution

So far I've found various 311 datasets (such as the New York one), but none of them contain the actual complaint text.

Preferably the data would be in English, Dutch or German, but I'll take what I can get.

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US City Open Data Census results for Service Requests should have what you need. And there's always Open 311, though I'm pretty sure its implementers will overlap with the census results.

There is also Open Referrals, an initiative developing common standards and open platforms for the sharing of community resource directory data — i.e., information about the health, human and social services that are available to people in need. More background information: Introducing Open Referral: Open211+Open311 protocols for health/human/social services and Open Referral Initiative: A Standard for the Safety Net.

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    Open 311 looks like it's exactly what I'm looking for. The census data points towards the 311 datasets I'd found before that doesn't contain the raw complaint text.
    – Swier
    Jul 5, 2017 at 9:25
  • sweet! check out open referrals too! my bad for leaving them out.
    – albert
    Jul 5, 2017 at 13:19
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    Open Referral also looks very interesting, definitely something I will dive into. As for the Open 311 dataset, without diving into the API I've only been able to get the last 48 hours worth of data. Am I correct in assuming that I can get more and older data through the API?
    – Swier
    Jul 6, 2017 at 10:01
  • i couldn't say...join their slack or google group if you can't find it in the documentation
    – albert
    Jul 6, 2017 at 13:46

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