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All Projects → scrapinghub → Webstruct

scrapinghub / Webstruct

NER toolkit for HTML data

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htmldata-sciencener

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Webstruct

.. image:: https://img.shields.io/pypi/v/webstruct.svg :target: https://pypi.python.org/pypi/webstruct :alt: PyPI Version

.. image:: https://travis-ci.org/scrapinghub/webstruct.svg?branch=master :target: https://travis-ci.org/scrapinghub/webstruct :alt: Build Status

.. image:: https://codecov.io/gh/scrapinghub/webstruct/branch/master/graph/badge.svg :target: https://codecov.io/gh/scrapinghub/webstruct :alt: Code Coverage

.. image:: https://readthedocs.org/projects/webstruct/badge/?version=latest :target: http://webstruct.readthedocs.io/en/latest/ :alt: Documentation

Webstruct is a library for creating statistical NER_ systems that work on HTML data, i.e. a library for building tools that extract named entities (addresses, organization names, open hours, etc) from webpages.

Unlike most NER systems, webstruct works on HTML data, not only on text data. This allows to define features that use HTML structure, and also to embed annotation results back into HTML.

Read the docs_ for more info.

License is MIT.

.. _docs: http://webstruct.readthedocs.io/en/latest/ .. _NER: http://en.wikipedia.org/wiki/Named-entity_recognition

Contributing

To run tests, make sure tox_ is installed, then run tox from the source root.

.. _tox: https://tox.readthedocs.io/en/latest/

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