<text>RT @msnbc_travel: Good news for elderly fliers (75 and above): TSA announces pilot program the relaxes security procedures http:\/\/t.co\/WTaM9AgW</text> <disapprovalFactor factor="-0.8" reason=“indicatorOfSatisfaction”/>Note that the factor is negative to indicate a level of satisfaction. The internal factor ranges from -1 (totally satisfied) to 1 (totally pissed off :-). Easy to parse and to associate a range based renderer. The second file is the “location” of the tweeters. Notice that I put location between quotes, that is because some values were great, like an exact latitude/longitude. Others were like “Boston, MA” And some (and most) were like “Earth”, or “Best Location, NYC!” or my favorite “Look behind u… Boo!”. There was a “sense” of location in these that I think would have given MetaCarta a run for its money. This is where being a unix CLI geek with tools like awk, grep and sed come to the rescue to massage the data. I downloaded a cities.csv to cross reference a city/state name to a location and now I can plot on a map the locatable tweets. Using the latest built-in capabilities of ArcGIS API for Flex such as clustering with flares, info window rendering on clicks, custom function referencing in symbols, I was able to quickly build an application to display the sentiments. You can see the application in action here. Hover over a cluster to flare it and click on a flare element to see its details. To make things more understandable, I reversed the factor value displayed in the info window. Warning: These are real tweets with sometimes very offensive language, so…. do not call HR on me, ok ? And like usual, you can see the source code here.
BTW, Check out GeoTagger for ArcGIS Runtime to see MetaCarta in action.