Business Call
Business call analysis focuses on improving the understanding and processing of spoken interactions in professional settings, aiming to extract key information, predict customer behavior, and optimize resource allocation. Current research emphasizes the development of robust and efficient models, often employing transformer-based architectures and techniques like genetic algorithms and extreme boosting, to handle diverse tasks such as purpose-of-call detection, entity extraction, and sentiment analysis. These advancements have significant implications for improving customer service, streamlining business processes, and enabling more effective data-driven decision-making across various industries.
Papers
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