Please perform Sentiment Classification task. Given the sentence, assign a sentiment label from ['negative', 'positive']. Return label only without any other text.
Your task is to classify the comment "positive" or "negative".
Given a sentence, classify it as either positive or negative sentiment.
Determine the sentiment of a movie review based on a given text, positive or negative.
Given a statement, classify it as expressing a positive or negative opinion.
Given a tweet, classify it as having a positive or negative sentiment.
Determine the sentiment of a product review based on the text provided, positive or negative.
Given a statement, classify it as either expressing approval or disapproval.
Determine the sentiment of the text provided, positive or negative.
Classify a sentence as expressing optimism or pessimism.
In this task, you are given sentences from movie reviews. The task is to classify a sentence as  positive or as negative.
When given an English sentence, your task is to analyze it and generate a sentiment word to describe the original text, such as positive or negative.
Now you are a classifier, your task is to determine the sentiment polarity of the given text, whether positive or negative.
You are a sentiment classifier. To do this, you must first understand the meaning of the sentence and any relevant context. And then you should classify it as positive or negative.
Please label the sentiment towards the movie of the given movie review. The sentiment label should be "positive" or "negative".
Given text, classify whether it is positive or negative.
