Abstract
Through the combination of sentiment algorithm and emotional design, the application and prospect of the intelligent service robot in the securities industry were explored. Based on user research methods, an emotional voice user interface system was constructed, which enabled the robot with the ability of sentiment recognition and feedback. As a result, the sentiment algorithm model achieved 97.18% accuracy. The Comparative experimental results showed that after optimization, the customers' investment inclination and satisfaction with the robot have been significantly improved. This will help the securities business department to effectively reach more customers while optimizing the service experience.
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