title: How can I build a model to distinguish tweets about Apple (Inc.) from tweets about apple (fruit)?
body: <p>See below for 50 tweets about "apple." I have hand labeled the positive matches about Apple Inc. They are marked as 1 below.</p>
  
  <p>Here are a couple of lines:</p>
  
  <pre><code>1|“@chrisgilmer: Apple targets big business with new iOS 7 features http://bit.ly/15F9JeF ”. Finally.. A corp iTunes account!
  0|“@Zach_Paull: When did green skittles change from lime to green apple? #notafan” @Skittles
  1|@dtfcdvEric: @MaroneyFan11 apple inc is searching for people to help and tryout all their upcoming tablet within our own net page No.
  0|@STFUTimothy have you tried apple pie shine?
  1|#SuryaRay #India Microsoft to bring Xbox and PC games to Apple, Android phones: Report: Microsoft Corp... http://dlvr.it/3YvbQx  @SuryaRay
  </code></pre>
  
  <p>Here is the total data set: <a href="http://pastebin.com/eJuEb4eB" rel="noreferrer">http://pastebin.com/eJuEb4eB</a></p>
  
  <p>I need to build a model that classifies "Apple" (Inc). from the rest.</p>
  
  <p>I'm not looking for a general overview of machine learning, rather I'm looking for actual model in code (<a href="http://en.wikipedia.org/wiki/Python_%28programming_language%29" rel="noreferrer">Python</a> preferred).</p>