Consumer Complaint

Consumer complaint analysis is a growing field leveraging natural language processing (NLP) to understand and address customer grievances across various sectors, from healthcare to finance and product reviews. Research focuses on automating complaint processing through techniques like large language models (LLMs) for autocompletion and anomaly detection, as well as multimodal approaches combining speech and text analysis to improve accuracy in identifying complaints and requests. These advancements offer significant potential for improving customer service, product development, and risk management by providing actionable insights from vast amounts of unstructured complaint data.