Intelligent customer service question-answering system based on naive Bayesian classification algorithm

Abstract

The invention relates to the technical field of intelligent customer service, and discloses an intelligent customer service question-answering system based on a naive Bayesian classification algorithm, which comprises the following steps: 1) the voice input is performed by a user; 2) the voice recognition module recognizes the voice; 3) the language recognition module understands the natural language through a recognition algorithm; and 4) the understood questions are input into a question and answer engine. The method has the advantages that through voice input, voice recognition, natural language understanding and question and answer engine inputting, natural language understanding comprises user intention understanding and user question quick positioning, meaning to be expressed by language of human beings in various environments can be accurately and effectively recognized, and user experience is improved. Based on artificial intelligence technologies such as a deep neural networkand syntax dependence, the intelligent robot can accurately understand user problems and has intelligent capabilities such as intelligent questioning, semantic understanding accuracy exceeds 95%, andservice quality and efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of intelligent customer service, in particular to an intelligent customer service question answering system based on a naive Bayesian classification algorithm. Background technique [0002] At present, question answering systems have become a hot research field at home and abroad. Researchers have proposed many solutions in the field of question answering systems. According to different application environments, question answering systems are mainly divided into three categories: restricted domain question answering systems, open domain question answering systems and Q&A system based on frequently asked questions. [0003] Although domestic research on intelligent question answering systems has made some achievements, compared with foreign countries, there is a big gap between domestic research and foreign countries in terms of research level and research scale. On the one hand, because Chinese is more comp...

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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides an intelligent customer service question answering system based on the naive Bayesian classification algorithm, which has the advantages of realizing intelligent support for information communication customer service seats, effectively improving customer service quality and service efficiency, and solving the problem of Will not carry out targeted processing on specific fields, resulting in poor retrieval effect

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