Prompt Design for Sentiment Classification
Based on the case study provided, construct a complete, self-contained prompt that uses in-context learning to classify the new customer review. Your prompt should provide the model with enough information to reliably determine if the new review is 'Positive' or 'Negative'.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A developer is building a system to sort customer feedback into 'Positive', 'Negative', or 'Neutral' categories. They provide the following complete text block to a large language model to classify the final review:
Classify the sentiment of the following review.
Review: "The battery life is amazing!" Sentiment: Positive
Review: "The screen scratches too easily." Sentiment: Negative
Review: "The product arrived on time." Sentiment:
Analyze this approach and identify the most significant issue that will likely lead to an unreliable classification for the final review.
Prompt Design for Sentiment Classification
Evaluating Prompt Demonstrations for Sentiment Analysis