Pattern is a web mining module for the Python programming language.
It bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider, HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface, syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity + LSA metrics), clustering and classification (k-means, KNN, SVM), and data visualization (graph networks).
The module is bundled with 30+ example scripts and 350+ unit tests.
Installation
Pattern is written for Python 2.5+ (no support for Python 3 yet). The module has no external dependencies except when using LSA in the vector module, which requires NumPy (installed by default on Mac OS X).
To install it so that the module is available in all your scripts, open a terminal and do:
> cd pattern-2.4 > python setup.py install
If you have pip, you can automatically download and install from the PyPi repository:
> pip install pattern
If none of the above works, you can make Python aware of the module in three ways:
- Put the pattern subfolder in the same folder as your script.
- Put the pattern subfolder in the standard location for modules so it is available to all scripts:
c:\python25\Lib\site-packages\ (Windows),
/Library/Python/2.5/site-packages/ (Mac OS X),
/usr/lib/python2.5/site-packages/ (Unix). - Add the location of the module to sys.path in your script, before importing it:
>>>
MODULE = '/users/tom/desktop/pattern'>>>
import
sys; if
MODULE not
in
sys.path: sys.path.append(MODULE)>>>
from
pattern.en import
parse, Sentence |
