Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Customer complaint has been the important feedback for modern enterprises to improve their product and service quality as ll as the customer's loyalty. As one of the commonly used manners in customer complaint, telephone communication carries rich emotional information of speeches, which provides valuable resources for perceiving the customer's satisfaction and studying the complaint handling skills.  studies the characteristics of telephone complaint speeches and proposes an analysis method based on affective computing technology, which can recognize the dynamic changes of customer emotions from the conversations beten the service staff and the customer. The recognition process includes speaker recognition, emotional feature parameter extraction, and dynamic emotion recognition. Experimental results show that this method is effective and can reach high recognition rates of happy and angry states. It has been successfully applied to the operation quality and service administration in telecom and Internet service company.
['Shuangping Gong', 'Yonghui Dai', 'Jun Ji', 'Jinzhao Wang', 'Sun H']
I am writing a research paper on a idea Emotion analysis of telephone complaints from customer based on affective computing
[{"from": "human", "value": "I am writing a research paper on a idea Emotion analysis of telephone complaints from customer based on affective computing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Customer complaint has been the important feedback for modern enterprises to improve their product and service quality as ll as the customer's loyalty. As one of the commonly used manners in customer complaint, telephone communication carries rich emotional information of speeches, which provides valuable resources for perceiving the customer's satisfaction and studying the complaint handling skills.  studies the characteristics of telephone complaint speeches and proposes an analysis method based on affective computing technology, which can recognize the dynamic changes of customer emotions from the conversations beten the service staff and the customer. The recognition process includes speaker recognition, emotional feature parameter extraction, and dynamic emotion recognition. Experimental results show that this method is effective and can reach high recognition rates of happy and angry states. It has been successfully applied to the operation quality and service administration in telecom and Internet service company."}]