AI RESEARCH
MOSAIC: Modular Opinion Summarization using Aspect Identification and Clustering
arXiv CS.LG
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ArXi:2603.19277v1 Announce Type: cross Reviews are central to how travelers evaluate products on online marketplaces, yet existing summarization research often emphasizes end-to-end quality while overlooking benchmark reliability and the practical utility of granular insights. To address this, we propose MOSAIC, a scalable, modular framework designed for industrial deployment that decomposes summarization into interpretable components, including theme discovery, structured opinion extraction, and grounded summary generation.