# - 情感交互利用情感识别技术和自然语言处理,为客服系统赋予理解和表达情感的能力,提供更加人性化和贴心的客户服务体验。 import random # Placeholder for a more sophisticated emotion recognition system def recognize_emotion(text): # In a real scenario, you would use NLP and machine learning models to determine the emotion. # Here, we'll randomly choose an emotion for demonstration purposes. emotions = ["happy", "sad", "angry", "neutral"] return random.choice(emotions) def generate_response(emotion): # Tailor responses based on the detected emotion responses = { "happy": "It's great to hear you're happy! How can I assist you further?", "sad": "I'm sorry to hear that. How can I make things better for you?", "angry": "I understand your frustration. Let's solve this issue together.", "neutral": "How can I assist you today?", } return responses.get(emotion, "How can I help you?") def handle_customer_query(query): # Step 1: Understand the customer's query (a more advanced system would process and understand the query in depth) print(f"Customer query: {query}") # Step 2: Recognize the emotion in the customer's query emotion = recognize_emotion(query) print(f"Detected emotion: {emotion}") # Step 3: Generate a response based on the recognized emotion response = generate_response(emotion) print(f"Response: {response}") # Demo customer_query = "I've been waiting for my order for two weeks now, and it's still not here!" handle_customer_query(customer_query)

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