In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.

@dcorsetto Interested to see where this goes! When does the number of partners cross over from 'ok' to 'too many'? Split the middle, 150? 
positive

Damn it! Back to B&amp;Q cos half of the new desk is the wrong colour 
negative

@jamhess very cool!!! I gotta clean...UGH!!! But resting here too!!! SUNBLOCK=FAIL so I need some recovery time 

positive