A generic, machine learning-based revision scoring system designed to help automate critical wiki-work — for example, vandalism detection and removal. This library empowers ORES.
Using a scorer_model to score a revision::
import mwapi
from revscoring import Model
from revscoring.extractors.api.extractor import Extractor
with open("models/enwiki.damaging.linear_svc.model") as f:
scorer_model = Model.load(f)
extractor = Extractor(mwapi.Session(host="https://en.wikipedia.org",
user_agent="revscoring demo"))
feature_values = list(extractor.extract(123456789, scorer_model.features))
print(scorer_model.score(feature_values))
{'prediction': True, 'probability': {False: 0.4694409344514984, True: 0.5305590655485017}}
The easiest way to install is via the Python package installer (pip).
pip install revscoring
You may find that some of the dependencies fail to compile (namely
scipy, numpy and sklearn). In that case, you'll need to install some
dependencies in your operating system.
- Run
sudo apt-get install python3-dev g++ gfortran liblapack-dev libopenblas-dev - Run
apt-get install aspell-ar aspell-bn aspell-is myspell-cs myspell-nl myspell-en-us myspell-en-gb myspell-en-au myspell-et voikko-fi myspell-fr myspell-de-at myspell-de-ch myspell-de-de myspell-he myspell-hr myspell-hu aspell-id myspell-it myspell-nb myspell-fa aspell-pl myspell-pt myspell-es hunspell-sr aspell-sv aspell-ta myspell-ru myspell-uk hunspell-vi aspell-el myspell-lv aspell-ro myspell-ca hunspell-gl
Using Homebrew and pip, installing revscoring and enchant can be accomplished
as follows::
- brew install aspell --with-all-languages
- brew install enchant
- pip install --no-binary pyenchant revscoring
cd /tmp
wget http://ftp.gnu.org/gnu/aspell/dict/pt/aspell-pt-0.50-2.tar.bz2
bzip2 -dc aspell-pt-0.50-2.tar.bz2 | tar xvf -
cd aspell-pt-0.50-2
./configure
make
sudo make install
Caveats:
The differences between the aspell and myspell dictionaries can cause
some of the tests to fail
Finally, in order to make use of language features, you'll need to download some NLTK data. The following command will get the necessary corpora.
python -m nltk.downloader omw sentiwordnet stopwords wordnet
You'll also need to install enchant-compatible dictionaries of the languages you'd like to use. We recommend the following:
- languages.arabic: aspell-ar
- languages.bengali: aspell-bn
- languages.bosnian: hunspell-bs
- languages.catalan: myspell-ca
- languages.czech: myspell-cs
- languages.croatian: myspell-hr
- languages.dutch: myspell-nl
- languages.english: myspell-en-us myspell-en-gb myspell-en-au
- languages.estonian: myspell-et
- languages.finnish: voikko-fi
- languages.french: myspell-fr
- languages.galician: hunspell-gl
- languages.german: myspell-de-at myspell-de-ch myspell-de-de
- languages.greek: aspell-el
- languages.hebrew: myspell-he
- languages.hungarian: myspell-hu
- languages.icelandic: aspell-is
- languages.indonesian: aspell-id
- languages.italian: myspell-it
- languages.latvian: myspell-lv
- languages.norwegian: myspell-nb
- languages.persian: myspell-fa
- languages.polish: aspell-pl
- languages.portuguese: myspell-pt
- languages.serbian: hunspell-sr
- languages.spanish: myspell-es
- languages.swedish: aspell-sv
- languages.tamil: aspell-ta
- languages.russian: myspell-ru
- languages.ukrainian: aspell-uk
- languages.vietnamese: hunspell-vi
Make sure you installed test dependencies:
$ pip install -r test-requirements.txt
Then run:
$ pytest . -vv