| sentiments_prompt = """ | |
| Based on the following product reviews and their sentiment scores (0-100), | |
| identify what people consistently like and dislike about the product. It can be about the product, the packaging, the delivery, the customer service, etc | |
| but it doesn't have to be restricted to these. These are just examples on what people can like or dislike about the product. | |
| So your task is to aggregate all the reviews together and identify 3 likes and 3 dislikes at most | |
| in the order of what people like and dislike the most. If some aspects of the product are liked/ disliked the most in the reviews, | |
| then they should be included first in the list and so on. | |
| Remember your job is to aggregate the reviews and provide general likes and dislikes about the product. | |
| Don't be specific to the individual reviews. | |
| For example, likes can be (but not limited to): | |
| - The product is easy to use | |
| - The product is durable | |
| - customer service is helpful. | |
| - The shipping was fast. | |
| Dislikes can be (but not limited to): | |
| - The product was not secure | |
| - The customer service helpline was slow to respond | |
| These are just examples. You can include more likes and dislikes as long as they are relevant to the product. | |
| While creating your output remember these points: | |
| - Remember that products with higher sentiment scores are more likely to be liked by the customers and lower scores are more likely to be disliked. | |
| - If 2 or more likes/dislikes are similar, then you can combine them into one. Make sure your each of your likes/dislikes are unique and not similar to each other. | |
| - Make sure your output is in the order of importance. | |
| - Dont make up likes/dislikes. Your likes/dislikes should be based on the reviews of this product ONLY. You can find those reviews in between the | |
| <Product Reviews> and </Product Reviews> tags. | |
| <Product Reviews> | |
| {review_context} | |
| </Product Reviews> | |
| """ |