Example Definition of the 'Positive' Category for Polarity Classification
As part of a detailed prompt for polarity classification, the 'Positive' category can be explicitly defined. For instance, it can be described as indicating a positive emotion or attitude, encompassing expressions of happiness, satisfaction, excitement, or admiration.
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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
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Example Definition of the 'Positive' Category for Polarity Classification
Definition of the 'Negative' Category in Polarity Classification
A developer is using a language model to sort user feedback into three categories: 'Bug Report', 'Feature Request', and 'Praise'. The initial prompt is:
Classify the following feedback: [feedback text]. The developer observes that the model often misclassifies suggestions for improvement (e.g., 'It would be great if this button did X') as bug reports. Which of the following prompt modifications is most likely to resolve this specific ambiguity between the 'Bug Report' and 'Feature Request' categories?Definition of the 'Positive' Category in Polarity Classification
Refining a Polarity Classification Prompt
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A marketing team wants to classify customer reviews for a new coffee blend to specifically identify comments that praise its taste and aroma. Which of the following definitions for the 'Positive' category, when included in a classification prompt, would be most effective for achieving this specific goal?
Defining 'Positive' for a Non-Profit's Feedback Analysis
A software company wants to analyze user feedback to find bug reports submitted with a polite or appreciative tone, as they want to prioritize responding to these users first. They use a prompt that defines the 'Positive' category as: 'Indicates the user is happy or satisfied.' Why might this definition lead to poor results for their specific goal?