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Lars Juhl Jensen
Thanks to everyone for all the live commentary! In return, I give you a Wordle cloud based on all the comments that were posted in this room :-)
ISMBECCB2009_FriendFeed_Wordle.png
Surprised 'Allyson' is not one of the large keywords :) - Oliver Hofmann from iPhone
I used only the comments themselves - not the names of the people who posted them - Lars Juhl Jensen
Maybe make a Wordle out of the contributors? - Cameron Neylon
Did someone spot the 'Open' yet? - Egon Willighagen
Cameron, contributors cloud done and posted :) - Lars Juhl Jensen
I see a homologous word in the two Wordles! Latin data = Sanskrit datta, "given". :-) - Ruchira S. Datta
@Oliver - to answer your question there are a number of "@" names in the wordle, if you look closely, but yeah, it's very nice of @Lars to do both wordles! I can see @allyson and @oliver for instance - Allyson Lister
Looks like we should ramp up our vocabulary of verbs - use, using and used are all prominent items by themselves. - Roland Krause
I'm amazed by the difference between the Wordle based on abstracts (http://larsjuhljensen.tumblr.com/post...) and this one. The abstracts seem to focus on methods whereas the FriendFeed comments focus on data. - Lars Juhl Jensen
At least partially because it is much easier to quickly describes test data set than a complex method that might require notation or a schema, I think - Oliver Hofmann from iPhone