Twittratr is a StartupWeekend project that started simply with the question of whether tweets about Obama were generally positive or negative in nature. We figured, if we're tracking opinion surrounding Obama, couldn't we do that with any topic? A few of us liked the idea, so we set out to build it.
Kindly I invite you to join free http://tiny.cc/docedtech20 and collaborate in #edtech20 #socialmedia #curation and #semantic global project gateway to knowledge in #education20 I also invite you to see registered #edtech20 wiziq class on #mmvc11 click here http://edtech20curationprojectineducation.blogspot.com/2011/07/introduction-for-free-edtech20.html ; http://central.ly/web20education/ http://unhub.com/web20education/
Please write CAREFULLY your name, email , country , twitter username,your google plus, your blog and I will invite you to join #edtech20 PLN http://web20ineducation2010.ning.com/ and wiki https://web20andsocialmediaineducation2010.wikispaces.com/ and I will make a wiki page with all collaborators . This is a free project for teachers who aims to bring semantic web , social media and web 2.0 in XXI Century Education and discover new #edtech20 #edtools
This topic is curated by me, Lucian Duma father , teacher, social media curator and researcher and you can contact me twitter http://twitter.com/#!/web20education ; read more about my research https://plus.google.com/117863563779519083553/about
How it Works
We wanted to keep things as simple as possible. We built a list of positive keywords and a list of negative keywords. We search Twitter for a keyword and the results we get back are crossreferenced against our adjective lists, then displayed accordingly. There are obvious issues with this, so if you have any ideas on how we could do this better let us know.
We would love to be get access to a semantic analysis tool like Crawdad Technologies, or Visible Technologies. We've sent some emails, but if anyone out there wants to help feel free shoot us an email!