Dataset for Computational Consumer Insights: AI-Driven Emotional Regulation in Luxury Consumption (VADER Sentiment Analysis)

Abstract: This dataset supports the research on the "AI Emotional Regulation Cycle" in luxury consumption contexts. It contains a curated corpus of consumer discourse (Social Media Listening) representing interactions with luxury AI interfaces (e.g., Burberry, Sephora, Farfetch). Methodology: The data was processed using Python 3.13 and the VADER (Valence Aware Dictionary and sEntiment Reasoner) lexicon to quantify sentiment polarity. The dataset maps consumer verbatim to four psychological phases: Post-Purchase Pride, Anxiety Reduction, Identity Mirroring, and Technical Ignorance.