Convolutional neural network model based on text similarity for customer service

Abstract

Abstract Customer service is a good way for companies to communicate with customers, high-quality customer service can improve customer satisfaction and dependence on the enterprise. Text matching is a core problem in natural language understanding, and it can be applied to a large number of natural language processing tasks, such as information retrieval, question answering systems, repetition questions, dialogue systems, machine translation. These natural language processing tasks can be approximately abstracted into text matching problems. This paper combines text matching and convolutional neural networks to build an intelligent customer service model, and finally achieves ideal results in F1 value, recall rate and accuracy rate.