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: @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

Example Input: @b0j3 thats why  the question mark. Iam not sure about the concrete implementation but the idea is ok 
Example Output: positive

Example Input: @Carlamariex i dunnoo whyy but im ded   and need a good chat and stufff 
Example Output:
negative