This morning I had a quick look on the statistics from ALT-C 2009 last week that I gained with our tool twitterVisBT and was impressed: we analysed more than 3800 tweets from more than 680 users. Since some of the attendees asked for more statistics, here is a short screencast of what we analysed…
I'm a continuous learner in the field of Technology Enhanced Learning, Twitter addict, CEO of UMITS Limited and father of two boys. Recently I received a PhD from OUNL for my thesis "Awareness Support for Knowledge Workers in Research Networks". I'm asking myself many questions why things are like they are and seek for answers.
Thanks for sharing – anyway to counteract the spam – looking at your tags, you have included the spam messages in your analysis. Did you see Tony Hirst’s work on trying to filter this out? @psychemedia http://bit.ly/1nBj5v
We are beware of the problem and seek for ways to filter the spam. Thanks for the link to Tony Hirst’s work. I will see what I can do. The upcoming version of the tool should be aware of spam.
14.09.2009 at 10:32 am
Thanks for sharing – anyway to counteract the spam – looking at your tags, you have included the spam messages in your analysis. Did you see Tony Hirst’s work on trying to filter this out? @psychemedia http://bit.ly/1nBj5v
14.09.2009 at 10:36 am
We are beware of the problem and seek for ways to filter the spam. Thanks for the link to Tony Hirst’s work. I will see what I can do. The upcoming version of the tool should be aware of spam.
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