And a word cloud:

http://www.wordle.net/show/wrdl/3157008/code4lib_2011_IRC_logs

On Sat, Feb 12, 2011 at 10:13 AM, Eric Lease Morgan <[log in to unmask]> wrote:

> I have written a few hacks allowing me to do rudimentary text mining
> against the logs. [1] From readme.txt:
>
>  This directory contains a number of files and scripts allowing
>  one to do a bit of text mining against the Code4Lib conference
>  IRC log files for 2011. This is just a beginning, and the
>  directory includes:
>
>    * irclog.txt - the raw log file downloaded from
>      http://irc.code4lib.org/c4l11/static/logs/irclog
>
>    * log2db.pl - reads the raw log and outputs a tab-delimited
>      file with three columns (date, name, text)
>
>    * irclog.db - the output of log2db.pl
>
>    * count.pl - outputs the number of names (n), increases (i),
>      decreases (d), URLs (u), and commands (c) found in the log;
>      useful for seeing what is hot and what is not.
>
>    * ngrams.pl - given an integer (n), outputs the most frequent
>      n-length phrases; useful to see what words and phrases are
>      used most frequently
>
>    * concordance.pl - a KWIK index; the simplest of search engines
>
>    * readme.txt - this file
>
>  Using these tools one can see that:
>
>    * Zoia had the most to say
>    * mbklein's karma was increased the most
>    * Zoia's karma was decreased the most
>    * the most popular URL passed around regarded social activities
>    * we tried to sing as many as 196 songs closely followed by anagrams
>    * 28 of the songs weren't found
>    * live streams were mentioned frequently
>
>
> I have to go shovel snow now...
>
> [1] initial hacks - http://bit.ly/gMO4op
>
> --
> Eric Lease Morgan
>