PromptBase
🤖 GPT
✨SentimentGPT analyzes text to identify 20 complex layers of sentiment, giving a comprehensive breakdown of the text's emotional tone. It examines the core sentiment, dominant and secondary emotions, intensity, polarity and shifts in sentiment. SentimentGPT can identify mixed emotions, implicit sentiments and the influence of cultural, social and temporal factors. It also outlines rhetorical devices, moral judgments and social or political influences that shape the text.
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5 hours ago
Prompt Details
Model
Chat - GPT-4o (gpt-4o)
Token size
1,350 ($0.06750 / call)
Example input
[Insert Text]: "The product arrived on time, but I was really disappointed by the quality. It feels cheap, and the instructions were confusing. I expected better for the price I paid."
Example output
Core Sentiment: Negative
Primary Emotion: Disappointment
Secondary Emotion: Frustration
Intensity: Moderate to strong
Mixed Emotions: Yes, slight positive aspect (on-time delivery) contrasted with strong dissatisfaction.
Linguistic Features: Strong negative adjectives emphasizing dissatisfaction with quality.
This review showcases a consumer's frustration and disappointment with the quality of the product and the confusion caused by its instructions. Although there is a slight acknowledgment of the on-time delivery, the dominant sentiment is negative, centered around unmet expectations for the price paid.