README in classifier-1.2.0 vs README in classifier-1.3.0

@@ -10,17 +10,18 @@
 
 == Dependencies
 If you install Classifier from source, you'll need to install Martin Porter's stemmer algorithm with RubyGems as follows:
   gem install stemmer
 
-For LSI, you will need the following libraries:
+If you would like to speed up LSI classification by at least 10x, please install the following libraries:
 GNU GSL:: http://www.gnu.org/software/gsl
 rb-gsl:: http://rb-gsl.rubyforge.org
 
+Notice that LSI will work without these libraries, but as soon as they are installed, Classifier will make use of them. No configuration changes are needed, we like to keep things ridiculously easy for you.
+
 == Bayes
-A Bayesian classifier by Lucas Carlson. Bayesian Classifiers are accurate, fast,
-and have modest memory requirements.
+A Bayesian classifier by Lucas Carlson. Bayesian Classifiers are accurate, fast, and have modest memory requirements.
 
 === Usage
     require 'classifier'
     b = Classifier::Bayes.new 'Interesting', 'Uninteresting'
     b.train_interesting "here are some good words. I hope you love them"
@@ -43,11 +44,11 @@
 * http://www.process.com/precisemail/bayesian_filtering.htm
 * http://en.wikipedia.org/wiki/Bayesian_filtering
 * http://www.paulgraham.com/spam.html
 
 == LSI
-An experimental Latent Semantic Indexer by David Fayram. Latent Semantic Indexing engines
+A Latent Semantic Indexer by David Fayram. Latent Semantic Indexing engines
 are not as fast or as small as Bayesian classifiers, but are more flexible, providing 
 fast search and clustering detection as well as semantic analysis of the text that 
 theoretically simulates human learning.
 
 === Usage
@@ -80,7 +81,7 @@
 
 == Authors    
 * Lucas Carlson  (mailto:[e-mail])
 * David Fayram II (mailto:[e-mail])
 
-This library is released under the terms of the GNU GPL. See LICENSE for more details.
+This library is released under the terms of the GNU LGPL. See LICENSE for more details.