is a service which categorizes location based tweets
particularly useful to travelers. You can check us out at
We search tweets based on some combinations of keywords and then
filter them out using language processing algorithms.

If you would like access to the data using a Web API, do let us know.


follow Twaller @mytwaller

On Jan 8, 7:49 am, "@epc" <> wrote:
> On Jan 8, 9:29 am, GeorgeMedia <> wrote:
> > No one?
> I think you would be better off consuming the firehose, geocode the
> tweets yourself, and throw away any that aren’t in regions you care
> about, caching the rest for a period of time.
> The thing to remember about "geocoding" of tweets is that until very
> recently the geocoding was solely by the <location> field in a user’s
> profile.  True geocoding of individual tweets is very recent and
> depends on the user enabling geo coding, and on the user agent posting
> the lat/lon with the tweet.  So the firehose *does* contain the <geo>
> field, it's just mostly empty because most clients don’t populate it
> yet.  So if the <geo> field is empty you’d have to geocode based on
> the <location> field which is a bit of a hairball and may contain any
> data up to 30 bytes.
> Alternately, do the cron job thing but enlarge the regions you’re
> searching on (search on the top N cities or metros for example, not
> 200,000 coordinates).  Cache the data, and accept that it won’t be
> absolutely up to date (it’s already lost a lot of precision since the
> <location> field is completely arbitrary and even if it is a city or
> lat/lon pair, does not necessarily represent where the twitter user
> was at that moment in time).
> --
> -ed costello

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