##Files

###data/bars.json a list of known bars.

###data/locations.json a list of tweets matched up to the known bars.

###tools/dump_tweets will pull down any new tweets from @tamaletracker and insert it in a sqlite database, tweets.db. If tweets.db does not exist it will create it. You need to pass a --username and --password option.

###tools/extract_names will go through the tweets in tweets.db and attempt to associate them with a bar name from bars.json. It uses some janky heuristics to pull out what looks like a bar name, and then matches that to a bar from bars.json using the levenshtein distance.

###tools/add_neighborhoods.rb Will go through the known bars file. For bars that have street components and no known neighborhood, we will ask yelp if they know which neighborhood its in.

###tools/add_latlong.rb Goes through known bars and grabs the lat/long coords and stores.

###tools/yelp.rb A Yelp class that, so far, only supports querying for neighborhoods from street addresses

###tools/.yelpkey A file containing a yelp API key that you'll need to add yourself. Get a key here: http://www.yelp.com/developers/getting_started/api_access Unfortunately limited to 100 queries per day unless you can show them you have a working application ;(

##Requirements

###perl

• DBD::SQLite
• Any::Moose
• Net::Twitter::Lite
• Path::Class
• Date::Parse
• JSON

These can all be installed with: tools/cpanm --sudo DBD::SQLite Any::Moose Net::Twitter::Lite Path::Class Date::Parse JSON

###ruby

• json

Install with rubygems sudo gem install json