readme.rdoc in groupie-0.2.2 vs readme.rdoc in groupie-0.3.0

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 Groupie is a simple way to group texts and classify new texts as being a likely member of one of the defined groups. Think of bayesian spam filters.
 
 The eventual goal is to have Groupie work as a sort of bayesian spam filter, where you feed it spam and ham (non-spam) and ask it to classify new texts as spam or ham. Applications for this are e-mail spam filtering and blog spam filtering. Other sorts of categorizing might be interesting as well, such as finding suitable tags for a blog post or bookmark.
 
-== Goals 
+Started and forgotten in 2009 as a short-lived experiment, in 2010 Groupie got new features when I started using it on a RSS reader project that classified news items into "Interesting" and "Not interesting" categories.
 
-Groupie is a 'fun' project that has the following goals, in descending order of importance:
-* Have fun playing with code
-* Play with Bayesian-like (spam) filtering
-
 == Current functionality
 
 Current funcionality includes:
 * Tokenize an input text to prepare it for grouping.
   * Strip XML and HTML tag.
   * Keep certain infix characters, such as period and comma.
 * Add texts (as an Array of Strings) to any number of groups.
 * Classify a single word to check the likelihood it belongs to each group.
 * Do classification for complete (tokenized) texts.
+* Pick classification strategy to weigh repeat words differently (weigh by sum, square root or log10 of words in group)
 
 == License
 
 As always, the code is licensed under the MIT license.
 
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