http://www.bibsonomy.org/rss/user/mstrohm/TOREADBibSonomy RSS Feed for /user/mstrohm/TOREADhttp://www.stanford.edu/dept/pres-provost/president/speeches/951005dieluft.htmlmstrohm2011-12-15T19:07:16+01:00TOREAD historical http://www.faz.net/aktuell/feuilleton/netzdiskurs-das-elend-der-internetintellektuellen-11504372.htmlmstrohm2011-10-25T15:57:20+02:00TOREAD web-science on learning hierarchical structureshttp://www.cs.berkeley.edu/~kevin/research_files/caniniG11.pdfmstrohm2011-07-25T20:00:10+02:00PRELIMINARY-BIBTEX TOREAD categorization folksonomy tagging on learning hierarchical structuresby H. Maurerhttp://www.chemie.fu-berlin.de/outerspace/doc/hyper-g-abs.htmlmstrohm2011-07-19T19:16:42+02:00TOREAD course tools web-science by H. Maurerhttp://www.vf.utwente.nl/~neisser/public/reject.pdfmstrohm2010-12-07T00:11:49+01:00TOREAD doing-research humor writing-papers by Susan Leigh Starhttp://www.amazon.com/Sorting-Things-Out-Classification-Consequences/dp/0262522950mstrohm2010-03-31T13:40:34+02:00TOBUY TOREAD books categorization classification knowledge-management by Susan Leigh Staralso see &#034;Tag Based Model for Knowledge Sharing in Agent Society&#034;http://cfpm.org/~david/mstrohm2009-09-18T18:43:20+02:00TOREAD agent-theory agents games goals simulation tagging theory also see &#034;Tag Based Model for Knowledge Sharing in Agent Society&#034;http://ccl.northwestern.edu/netlogo/mstrohm2009-08-30T02:48:23+02:00TOREAD agents simulation tools http://www.trendingupward.net/2009/05/beyond-the-click-through/#more-1384mstrohm2009-05-08T15:59:53+02:00TOREAD marketing query-log-analysis comparative analysis of clickstream from Twitterhttp://weblogs.hitwise.com/us-heather-hopkins/2009/03/where_to_from_twitter.htmlmstrohm2009-04-19T19:35:47+02:00web-science web2.0 motivation TOREAD comparative analysis of clickstream from Twitterhttp://www.tekka.net/10/tags.htmlmstrohm2009-04-19T19:33:22+02:00tagging TOREAD http://sites.google.com/site/dmrussell/Home/chi-2009-sensemaking-workshop-accepted-papersmstrohm2009-04-05T16:54:44+02:00web-science workshop tagging TOREAD At the core of We Feel Fine is a data collection engine that automatically scours the Internet every ten minutes, harvesting human feelings from a large number of blogs. Blog data comes from a variety of online sources, including LiveJournal, MSN Spaces, MySpace, Blogger, Flickr, Technorati, Feedster, Ice Rocket, and Google. We Feel Fine scans blog posts for occurrences of the phrases &#034;I feel&#034; and &#034;I am feeling&#034;. This is an approach that was inspired by techniques used in Listening Post, a wonderful project by Ben Rubin and Mark Hansen. Once a sentence containing &#034;I feel&#034; or &#034;I am feeling&#034; is found, the system looks backward to the beginning of the sentence, and forward to the end of the sentence, and then saves the full sentence in a database. Once saved, the sentence is scanned to see if it includes one of about 5,000 pre-identified &#034;feelings&#034;. This list of valid feelings was constructed by hand, but basically consists of adjectives and some adverbs. The full list of valid feelings, along with the total count of each feeling, and the color assigned to each feeling, is here.http://www.wefeelfine.org/mstrohm2009-02-05T13:44:48+01:00TOREAD goals tools At the core of We Feel Fine is a data collection engine that automatically scours the Internet every ten minutes, harvesting human feelings from a large nu<span class="info">...<div>At the core of We Feel Fine is a data collection engine that automatically scours the Internet every ten minutes, harvesting human feelings from a large number of blogs. Blog data comes from a variety of online sources, including LiveJournal, MSN Spaces, MySpace, Blogger, Flickr, Technorati, Feedster, Ice Rocket, and Google. We Feel Fine scans blog posts for occurrences of the phrases &#034;I feel&#034; and &#034;I am feeling&#034;. This is an approach that was inspired by techniques used in Listening Post, a wonderful project by Ben Rubin and Mark Hansen. Once a sentence containing &#034;I feel&#034; or &#034;I am feeling&#034; is found, the system looks backward to the beginning of the sentence, and forward to the end of the sentence, and then saves the full sentence in a database. Once saved, the sentence is scanned to see if it includes one of about 5,000 pre-identified &#034;feelings&#034;. This list of valid feelings was constructed by hand, but basically consists of adjectives and some adverbs. The full list of valid feelings, along with the total count of each feeling, and the color assigned to each feeling, is here.</div></span>http://www.everythingismiscellaneous.com/2008/11/30/philosophical-problems-with-folksonomies/mstrohm2008-12-26T20:33:36+01:00TOREAD folksonomy philosophy http://datamining.typepad.com/data_mining/2008/12/verbs-the-final-frontier.htmlmstrohm2008-12-15T12:54:20+01:00NLP TOREAD http://mashable.com/boss/mstrohm2008-12-09T17:02:32+01:00TOREAD course search tools web-science http://www.optimizeandprophesize.com/jonathan_mendezs_blog/2008/12/capturing-the-gorilla-new-ways-to-quantify-the-value-of-search-.htmlmstrohm2008-12-04T20:14:36+01:00TOREAD search http://www.nytimes.com/2008/11/23/business/23novelties.html?ref=technologymstrohm2008-11-23T20:41:00+01:00TOREAD search social-search http://www.slideshare.net/eldon/sequoia-capital-on-startups-and-the-economic-downturn-presentationmstrohm2008-11-03T04:06:10+01:00TOREAD economics slides by Ron Kohavihttp://exp-platform.com/default.aspxmstrohm2008-10-30T00:30:14+01:00TOREAD experiments methods tools web-science by Ron Kohavi