Definition: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.
Input: 0A$NETWORKS allow companies to bill for SMS, so they are responsible for their "suppliers", just as a shop has to give a guarantee on what they sell. B. G.

spam