PromptBase
š¤ GPT
Getting to know the overall sentiment of a customer comment is good. But if you exactly know what aspects of the experience they like or dislike, you can do a focused resolution and improve customer experience in no time. Happy customers, Happy us!
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Over 1 month ago
Prompt Details
Model
Completion - GPT-3.5 (text-davinci-003)
Token size
135 ($0.00270 / call)
Example input
Example 1: My first sentence is "The restaurant had a very pretty view of the river. But honestly, the sushi rolls were pathetic." and the keyword I am interested is "food"
Example 2: My first sentence is "The restaurant had a very pretty view of the river. But honestly, the sushi rolls were pathetic." and the keyword I am interested is āambianceā
Example 3: My first sentence is "The restaurant had a very pretty view of the river. But honestly, the sushi rolls were pathetic." and the keyword I am interested is "Disco"
Example output
Output 1:
{
'sentence': 'The restaurant had a very pretty view of the river. But honestly, the sushi rolls were pathetic.', 'keyword': 'food',
'sentiment': 'negative'
}
Output 2:
{
'sentence': 'The restaurant had a very pretty view of the river. But honestly, the sushi rolls were pathetic.', 'keyword': 'ambiance',
'sentiment': 'positive'
}
Output 3: Not sure, try paraphrasing the input sentence or keyword.