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Semantic analysis and classification method for customer enquiries in telecommunication services

机译:电信服务客户查询的语义分析和分类方法

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摘要

A variety of services have recently been provided that depend on highly developed networks and personal equipment. With these advances, connecting this equipment has become increasingly more complicated. Customer enquiries about problems such as no-connection to an Internet/phone service will increase, and telecom operators will require the ability to understand such situations and act as quickly as possible. Therefore, it is important to analyze failure trends and establish, in advance, effective coping processes for complex problems conveyed in customer enquiries. We present a method for analyzing and classifying customer enquiries efficiently and precisely from the structural type of description in ontologies. Moreover, our method can reconstruct semantic content efficiently by extracting related terms through analysis and classification. This method is based on a dependency parsing and co-occurrence technique to enable classification of a large amount of unstructured data into patterns because customer enquiries are generally stored as unstructured textual data. The validity of the method is evaluated and the method to determine threshold values is developed by using a large amount of customer enquiries in the real operational field.
机译:最近已经提供了各种服务,这些服务依赖于高度发达的网络和个人设备。随着这些进步,连接此设备变得越来越复杂。客户对诸如无法连接到Internet /电话服务之类的问题的询问将增加,电信运营商将需要能够理解这种情况并尽快采取行动的能力。因此,分析故障趋势并针对客户查询中传达的复杂问题预先建立有效的应对流程非常重要。我们提出了一种用于根据本体中描述的结构类型高效,准确地分析和分类客户查询的方法。此外,通过分析和分类提取相关术语,我们的方法可以有效地重建语义内容。此方法基于依赖项解析和共现技术,可将大量非结构化数据分类为模式,因为客户查询通常存储为非结构化文本数据。通过在实际操作领域中使用大量客户查询来评估该方法的有效性,并开发确定阈值的方法。

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