This Prompt Outputs The User Comment In JSON Format By Doing Aspect Based Sentiment Analysis. ABSA Serves As A Valuable Tool For Scrutinizing Customer Feedback By Linking Distinct Sentiments To Various Facets Of A Product Or Service. * Sentiments: Evaluations Of A Specific Aspect As Either Positive, Neutral Or Negative. * Aspects: The Category, Feature, Or Subject Under Discussion.
This prompt outputs the user comment in JSON format by doing aspect-based sentiment analysis. ABSA serves as a valuable tool for scrutinizing customer feedback by linking distinct sentiments to various facets of a product or service. Sentiments: Evaluations of a specific aspect…Read full description ↓
I request you to divide the user comment below into aspects and perform sentiment analysis and give the result in sentiment analysis json format. Just return result in json format. Don't add any other comments.
Note: The sentiment score should be in the range (0.1 - 1). The sentiment score should be a float. The sentiment label should be either ['positive', 'negative', 'neutral'].
comment: {user_comment}
Description
This prompt outputs the user comment in JSON format by doing aspect-based sentiment analysis.
ABSA serves as a valuable tool for scrutinizing customer feedback by linking distinct sentiments to various facets of a product or service.
- Sentiments: Evaluations of a specific aspect as either positive, neutral or negative.
- Aspects: The category, feature, or subject under discussion.
How to Use
Use with LangChain: hub.pull("yavuzkomecoglu/aspect-based-sentiment-analysis")
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