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: UR awarded a City Break and could WIN a £200 Summer Shopping spree every WK. Txt STORE to 88039 . SkilGme. TsCs087147403231Winawk!Age16 £1.50perWKsub
Output:
spam