Description:

"Pattern" bundles a diverse range of Python functionality for working with text. It contains tools for web data mining such as a uniform API for web services (Google, Yahoo, Bing, Twitter, Wikipedia, Flickr, Facebook, RSS), a HTML DOM parser, web crawler and a PDF parser. It has wrappers for SQLite and MySQL databases, and a Datasheet class for working with CSV-files. It has a transformation-based tagger/chunker for English and Dutch, sentiment lexicons, a WordNet interface, and an n-gram search algorithm. It also has algorithms for tf-idf, cosine similarity, LSA, k-means and hierarchical clustering, Naive Bayes, KNN and SVM classifiers. It has a helper module for writing HTML canvas graphics in the web browser (no plugins needed), and tools for directed graphs, graph centrality, graph partitioning and spring-based graph visualization.

The package is well-documented at: http://www.clips.ua.ac.be/pages/pattern

It comes bundled with 30+ example scripts and 350+ unit tests.

Please let us know if you find any bugs!

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Mac Os X

Data Formats: Txt, Csv

Tags: Graph, Svm, Latent Semantic Analysis, Natural Language Processing, Information Extraction, Data Visualization, Tfidf, Csv, K Nearest Neighbor, Html

Archive: download here

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