Customer Review
Customer review analysis focuses on extracting actionable insights from user feedback to improve products and services. Current research emphasizes automated methods using machine learning, particularly large language models (LLMs) and transformer-based architectures, to classify reviews, identify key aspects and sentiments, and even predict future failures or suggest improvements based on competitor analyses. This field is significant for businesses seeking to enhance customer satisfaction and make data-driven decisions, while also offering valuable opportunities for advancing natural language processing and machine learning techniques.
Papers
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