This is really interesting. A great tool to search geocoded tweets is the MapD Tweetmap <a href="http:&#x2F;&#x2F;www.mapd.com&#x2F;demos&#x2F;tweetmap" rel="nofollow">http:&#x2F;&#x2F;www.mapd.com&#x2F;demos&#x2F;tweetmap</a> (full disclosure, my company). For example, here (<a href="http:&#x2F;&#x2F;bit.ly&#x2F;1KIPSqh" rel="nofollow">http:&#x2F;&#x2F;bit.ly&#x2F;1KIPSqh</a>) are tweets containing “seat” and “me”.