Use the Stanford NER model to clean personally identifiable information from dirty dirty text.
Project description
scrubadub removes personally identifiable information from text. scrubadub_address is an extension that uses pyap and libpostal to remove addresses from text.
This package contains one extra detector:
scrubadub_address.detectors.AddressDetector - A detector that finds British, American and Canadian addresses.
For more information on how to use this package see the scrubadub address documentation and the scrubadub repository.
Installation
First libpostal needs to be installed. Full instructions can be found in the libpostal documentation, but a summary is given below for linux installation:
$ sudo apt-get install curl autoconf automake libtool pkg-config
$ git clone https://github.com/openvenues/libpostal
$ cd libpostal
$ ./bootstrap.sh
$ ./configure --prefix=/usr/local/
$ make -j4
$ sudo make installOnce you have installed libpostal, the remaining python dependencies can be installed:
$ pip install pypostal scrubadub_addressNew maintainers
LeapBeyond are excited to be supporting scrubadub with ongoing maintenance and development. Thanks to all of the contributors who made this package a success, but especially @deanmalmgren, IDEO and Datascope.
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Hashes for scrubadub_address-2.0.1-py3-none-any.whl
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| MD5 | 458dba4ba46a07711f1e4195583a706f |
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| BLAKE2b-256 | d973fcb424fbe3b53245f61c05df60290444ec482e1e9bb6ed8b6ae8067a7c25 |
