An intelligent customer service response method and system
A technology of intelligent customer service and customer service, applied in the field of intelligent customer service, can solve problems such as low response efficiency and poor user experience, and achieve the effects of improving user experience, ensuring accuracy, ensuring accuracy and real-time
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Embodiment 1
[0053] see figure 1 , the present embodiment provides an intelligent customer service answering method, including:
[0054] Step S1, preprocessing customer service historical chat sentences to export customer service corpus, obtaining a language recognition model through word segmentation training on customer service corpus, and building a business knowledge base by presetting business modules in multiple fields. The business module stores an elasticsearch database of knowledge data in this field, Knowledge data includes keyword answers, indexes and corresponding search fields; step S3, preset greeting keywords and corresponding answers to build a greeting scene knowledge base, when the corpus of user questions hits the greeting keywords after word segmentation by the language recognition model, then from the greeting scene Call the corresponding answer from the knowledge base to answer the user. When the corpus of the user’s question does not hit the greeting keyword after th...
Embodiment 2
[0071] see figure 1 with figure 2 , the present embodiment provides an intelligent customer service response system, including:
[0072] Model training unit 1 is used to preprocess customer service historical chat sentences to export customer service corpus, obtain a language recognition model through word segmentation training on customer service corpus, and preset business modules in multiple fields to build a business knowledge base. The business modules store knowledge data in this field The elasticsearch database, knowledge data includes keyword answers, indexes and corresponding search fields;
[0073] Greeting scene unit 3, which is used to preset greeting keywords and corresponding answers to build a greeting scene knowledge base. When the corpus asked by the user hits the greeting keyword after word segmentation by the language recognition model, the corresponding answer is called from the greeting scene knowledge base to answer the user , when the corpus asked by ...
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