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Complex Sentiment Deconstruction

#nlp #sentiment-analysis #psychology #text-analysis

Analyzes text beyond positive/negative to identify conflicting emotions, sarcasm, and micro-sentiments.

Analyze the provided text using a multi-dimensional sentiment analysis framework. Do not assign a single 'positive' or 'negative' score. Instead, deconstruct the text to identify: 1. Primary emotions (joy, fear, anger, etc.) and their intensity percentages. 2. Conflicting sentiments (e.g., 'passive-aggressive' or 'bittersweet'). 3. The presence and target of sarcasm or irony. 4. The rhetorical intent behind the statement (persuasion, venting, informing). Output the analysis as a detailed psychological profile of the text.