San Francisco
May 26, 2015

Basics of Statistical Text Analysis using Ruby

How to make an Auto Tagger! This is a beginners' level introduction to the basic terminology and concepts of statistical text mining.

We will use Ruby to understand some basic ideas behind how textual documents are parsed and analyzed in order to do things like auto-tagging, document categorization, and document similarity matching.

This class will assume knowledge of Ruby basics - methods, arrays and hashes, regular expressions and reading files. It will not require any prior knowledge of statistics or text mining.

7pm Pacific - 9pm Pacific on May 26, 2015 at Noisebridge
21 students were there


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