I recently had the pleasure of speaking with Hermant Purohit and colleagues who have been working on an interesting semantic social web application called Twitris+. A project of the the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Twitris+ uses “real-time monitoring and multi-faceted analysis of social signals to provide insights and a framework for situational awareness, in-depth event analysis and coordination, emergency response aid, reputation management etc.”
Unlike many other social media platforms I’ve reviewed over recent months, Twitris+ geo-tags content at the tweet-level rather than at the bio level. That is, many platforms simply geo-code tweets based on where a person says s/he is as per their Twitter bio. Accurately and comprehensively geo-referencing social media content is of course no trivial matter. Since many tweets do not include geographic information, colleagues at GeoIQ are seeking to infer geographic information after analyzing a given stream of tweets, for example.