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.

Example Input: @andyclemmensen i love how you guys tell us the stuff we really *wanna* know about you 
Example Output: positive

Example Input: gdmornin everyone 
Example Output: positive

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