Research on an Interactive Question Answering System of Artificial Intelligence Customer Service Based on Word2Vec

Research on an Interactive Question Answering System of Artificial Intelligence Customer Service Based on Word2Vec

Jiong Zhang, ChunGuang Zheng, Jing Yang, Mohammad Usama
Copyright: © 2022 |Pages: 12
DOI: 10.4018/IJeC.304040
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Abstract

In order to reduce the labor cost pressure of telecom operators' customer service and improve the service quality, the natural language analysis technology based on artificial intelligence technology will realize the automatic question and answer customer service.This paper proposes to obtain word vectors based on Word2vec model. By comparing the word vectors under different training model parameters, the results show that the low-frequency word threshold plays a better role in controlling the number of the final trained word vectors. The training results of SKIP-GRAM model are better than that of CBOW and the word list is more regular. Under the condition of making full use of the existing customer service knowledge resources, the new system will realize the goal of innovating service means, expanding customer service channels, diverting customer service pressure and improving service efficiency.
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1. Introduction

It’s an age of digitization, and now almost everything is digitized (Moreno, et al, 2016). Almost everything is connected with internet and contains a huge amount of data to be shared and analyzed using various available tools for the further enhancement of technology. With the rapid development in these areas, the competition among the service providers is also increasing. The tool for getting maximum customer satisfaction and boom in the market is feedback system and assistance of customer at every stage of usage of the product (Li Q, 2018). This development has widened the market for internet related devices and technologies. In 2015 the number of internet users had more than tripled in a decade – from 1 billion in 2005 to an estimated 3.2 billion (ITU, 2016). In order to sustain these changes there must be an increased sophistication of Computers, increase in the usages of mobile phones and easy and cheap availability of internet access. This digital revolution has brought drastic changes in the ways, how world is living, working and how socializing (Zelezny-Green, 2018).

This increased dependency on technology has laid a requirement of an easy system which can be operated and understood by a layman also. In a study published on (Tracking Literacy in an Increasingly Digital World, 2017) show that 750 million adults in which two-thirds are women and 102 million peoples are of age between 15-24 can’t even read or write basic alphabets (Tracking Literacy in an Increasingly Digital World, 2017). With these challenges, for digitization to grow and to reach every home, the system should be designed in such way that illiteracy should not be a hurdle for them, in fact this digitization should help in making people literate. For that, we need a system which can talk with anyone in their native language, because the peoples who can’t read or write, can at least listen, speak and understand.

Question and Answer (Q & A) is an essential part of learning process. Developing a system which can resolve the quarries of the customers related to the operation or performance of a system will help in the evaluation of a better system and can reach to every part of the world with this digitization (Rathee, Geetanjali, et al, 2019).

With the rise of big data technology and mobile Internet technology, people's living standards have been significantly improved, and their lifestyles are also changing. In the information age, customers' awareness of independent service is strengthened and they are willing to use information equipment to receive services. This means that enterprises should carry out information reform to provide customers with intelligent, humanized and information-based high-quality services, so as to improve customer satisfaction (Peng, Minjing, et al, 2016). It is the core of enterprise informatization reform to construct AI customer interactive Q & A, so it is of great practical significance to study the research and implementation of AI customer interactive Q & A. further, research on how the application of virtual assistant and chat-bots can be further extended in other related fields is scarce, and thus more efforts are to be made in these areas (Hien, 2020).

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