Skip to main content

A library for performing automatic detection of assessment classes of Wikipedia articles.

Project description

# Wikipedia article quality classification

This library provides a set of utilities for performing automatic detection of assessment classes of Wikipedia articles. For more information, see the full documentation at http://pythonhosted.org/wikiclass.

Compatible with Python 3.x only. Sorry.

## Basic usage

>>> import wikiclass
>>> from revscoring.scorer_models import MLScorerModel
>>>
>>> scorer_model = MLScorerModel.load(open("models/enwiki.wp10.rf.model", "rb"))
>>>
>>> text = "I am the text of a page.  I have a <ref>word</ref>"
>>> wikiclass.score(scorer_model, text)
{'prediction': 'stub',
 'probability': {'stub': 0.27156163795807853,
                 'b': 0.14707452309674252,
                 'fa': 0.16844898943510833,
                 'c': 0.057668704007171959,
                 'ga': 0.21617801281707663,
                 'start': 0.13906813268582238}}

## Authors * Aaron Halfaker – https://github.com/halfak * Morten Warncke-Wang – http://www-users.cs.umn.edu/~morten

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wikiclass-0.3.2.tar.gz (18.0 kB view hashes)

Uploaded source

Built Distribution

wikiclass-0.3.2-py2.py3-none-any.whl (41.0 kB view hashes)

Uploaded 3 5

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page