Case context: A team is building a system that reads customer reviews about restaurants and predicts whether the writer is pleased or displeased with the experience.

Question: A review says: 'I was disappointed from the start—the soup was cold and the server never came back.' Using sentiment classification, how should this review be labeled, and which words support that label?

Sample answer: This review should be labeled negative. The phrase 'I was disappointed from the start' clearly shows dissatisfaction, and 'the soup was cold' plus 'the server never came back' describe problems with the service and food. Those details indicate an unfavorable opinion.

Key points:

• The review should be classified as negative
• 'I was disappointed' signals dissatisfaction
• Cold food and poor service support the negative label
• Sentiment classification uses opinion-bearing language in the text

Rubric: Full credit: correctly labels the review as negative and cites specific evidence from the text. Partial credit: correct label without supporting evidence. No credit: incorrect label.