Tag: reviews
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From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction arXiv:2510.16551v1 Announce Type: new Abstract: This research proposes a systematic, large language model (LLM) approach for extracting product and service attributes, features, and associated sentiments from customer reviews. Grounded in marketing theory, the framework distinguishes perceptual attributes from actionable features, producing interpretable…
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Semantically Compress Text to Save On LLM Costs
Semantically Compress Text to Save On LLM Costs LLMs are great… if they can fit all of your data Photo by Christopher Burns on Unsplash Originally published at https://blog.developer.bazaarvoice.com on October 28, 2024. Introduction Large language models are fantastic tools for unstructured text, but what if your text doesn’t fit in the context window? Bazaarvoice faced exactly this…