Definition of the 'Negative' Category in Polarity Classification
In polarity classification, the 'Negative' category is used to identify texts that convey adverse emotions or attitudes. This classification includes expressions of feelings such as sadness, anger, frustration, or criticism.
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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
Improving a News Headline Classifier
Learn After
A system is designed to categorize text based on the writer's attitude or emotion. Which of the following statements most clearly expresses a 'Negative' sentiment, characterized by feelings of dissatisfaction, anger, or criticism?
Analysis of Sentiment Misclassification
Justifying Negative Sentiment Classification