基于知识发现的ICT呼叫中心数据辅助分析系统的研究与开发

Xiangna Li, Zhongping Xu, Xuedong Li, Tao Zhang, Rongrong Zheng, Xiao Han, Chenhui Wang, Bing Tian
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引用次数: 1

摘要

国网ICT呼叫中心拥有大量结构化工单、非结构化语音文件等数据,其丰富的价值有待开发。基于国网ICT呼叫中心现有跨媒体数据,构建大规模知识图谱,研究数据实体抽取技术和实体关系抽取模型,并根据其数据相关性对系统热点问题进行追溯。ICT呼叫中心数据辅助分析系统利用热点事件分析用户需求,缩短ICT系统故障检测时间,提高系统故障恢复效率,提高ICT呼叫中心智能化水平,指导业务系统优化方向。通过电商平台等典型业务场景的试点应用,可以有效提高用户问题的回答覆盖率和回答准确率,提高客户服务满意度和业务系统的智能分析水平。
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Research and Development of ICT Call Center Data Auxiliary Analysis System Based on Knowledge Discovery
State Grid ICT call center has a large number of data, such as structured work orders and unstructured voice files, and its rich value needs to be developed. Based on the existing cross-media data of State Grid ICT call center, constructing a large-scale knowledge graph, studies data entity extraction technology and entity relationship extraction model, and traces the hot questions of the system according to its data relevance. Auxiliary analysis system of ICT call center data uses hot events to analyze user needs, shortens the time of ICT system fault detection, improves the efficiency of system fault recovery, improves the level of ICT call center intelligence, and guides the optimization direction of service system. Through the pilot application of typical business scenarios such as e-commerce platform, it can effectively improve the answer coverage and answer accuracy of user questions, and improve customer service satisfaction and intelligent analysis level of business system.
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