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Event Details
This class is a gentle introduction to the document classification
techniques used in spam filters, news sites, and language detectors.
We'll cover simple parsing, feature selection, and naive bayesian
classification. By the end of the class, you'll have written your own
Twitter spam (or interestingness or happiness or annoyingness) filter,
and have the code and tools to develop your own projects.
There are no math prerequisites, but you should be familiar with basic
Python syntax (variables, conditionals, loops, functions, classes,
lists, dictionaries, and importing packages).
We'll be using Python with the free Natural Language Toolkit (NLTK - http://www.nltk.org/download). Please bring a laptop with these packages installed (if you need help installing NLTK, please just arrive 15 minutes early).
This class is taught by Hilary Mason (http://www.hilarymason.com), please let me know (http://www.hilarymason.com/about/) if you have any questions or comments!
When & Where
NYC Resistor
87 Third Avenue
4th Floor
Brooklyn,
NY 11217
Sunday, December 6, 2009 from 1:00 PM to 3:00 PM (EST)
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