PromptBase
🤖 GPT
Sentiment classification is a prevalent use case for many industry verticals. It is an important indicator to understand the customer's perspective on the service provided, be it PlayStore reviews, restaurant reviews, any marketplace reviews, etc. Not just the overall sentiment, but what made customers derive to that sentiment is a very important indicator for businesses to plan any actionable. This prompt will help you in solving this problem. The prompt outputs a valid JSON format for you to directly consume its work for your application. Just keep your sentences ready, the rest is taken care!
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Over 1 month ago
Prompt Details
Model
Completion - GPT-3.5 (text-davinci-003)
Token size
154 ($0.00310 / call)
Example input
I found this place by coincidence more than 20 day ago and loved it. Every time I came to south city, I wanted to order from this place to enjoy the taste of their pizzas. Their All Veggie Cheese Pizza is unbelievably very tasty and have good flavour.
Example output
{
'sentence': 'I found this place by coincidence more than 20 day ago and loved it. Every time I came to south city, I wanted to order from this place to enjoy the taste of their pizzas. Their All Veggie Cheese Pizza is unbelievably very tasty and have good flavour.',
'sentiment': 'positive',
'reasoning': 'The user expresses their positive sentiment towards the place and the All Veggie Cheese Pizza, using words like "loved" and "unbelievably very tasty" to describe their experience.'
}