Pattern for python

  • Authors:
  • Tom De Smedt;Walter Daelemans

  • Affiliations:
  • LiPS Computational Linguistics Group, University of Antwerp, Antwerp, Belgium;LiPS Computational Linguistics Group, University of Antwerp, Antwerp, Belgium

  • Venue:
  • The Journal of Machine Learning Research
  • Year:
  • 2012

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Abstract

Pattern is a package for Python 2.4+ with functionality for web mining (Google + Twitter + Wikipedia, web spider, HTML DOM parser), natural language processing (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, k-means clustering, Naive Bayes + k-NN + SVM classifiers) and network analysis (graph centrality and visualization). It is well documented and bundled with 30+ examples and 350+ unit tests. The source code is licensed under BSD and available from http://www.clips.ua.ac.be/pages/pattern.