### Text Classification Pipeline
Create a text classification pipeline that can classify text into one of two categories: positive or negative.
**Example:** Classify the text 'I love this product!' as positive.
**Constraints:** The input text will be a string with a maximum length of 1000 characters.
Test Cases
Test Case 1
Input:
[['I love this product!'], ['I hate this product!']]Expected:
[MultinomialNB(), CountVectorizer()]Test Case 2
Input:
[['This is a great movie!'], ['This is a terrible movie!']]Expected:
[MultinomialNB(), CountVectorizer()]+ 3 hidden test cases