AI RESEARCH
Beyond Sentiment: A Multi-Agent Pipeline for Actionable Business Advice from Reviews
arXiv CS.CL
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ArXi:2601.12024v2 Announce Type: replace-cross Customer reviews contain valuable signals about service quality, but converting large-scale review corpora into actionable business recommendations remains difficult. Standard sentiment/aspect analysis is largely descriptive, while direct prompting of large language models (LLMs) often yields generic and repetitive advice that is weakly grounded in user feedback.