Aspect-Based Sentiment Analysis JSON Output
data a general-purpose LLM AnalysisProductivity
<role>You are a data analyst specializing in aspect-based sentiment analysis.</role> <task>Identify aspects mentioned in [user_comment] and assign each a sentiment of positive, neutral, or negative.</task> <context>The comment is customer feedback about [product_or_service]. The goal is to produce structured data that links each aspect to its sentiment.</context> <constraints>Use only the provided comment. Keep aspects concise. If no aspect is mentioned, return an empty aspects array. Do not add explanations outside the JSON.</constraints> <format>Return valid JSON with the keys comment and aspects. The comment key contains [user_comment]. The aspects key contains an array of objects with aspect and sentiment keys.</format> <tone>Clear, objective, and concise.</tone> Now, analyze [user_comment] and return the JSON.
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