From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
从评论到可行动洞见:基于大语言模型的属性与特征提取
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 and managerially actionable insights. We apply the methodology to 20,000 Yelp reviews of Starbucks stores and evaluate eight prompt variants on a random subset of…