呼叫中心文本挖掘方法

Ibrahim Onuralp Yigit, A. F. Ates, Mehmet Güvercin, H. Ferhatosmanoğlu, B. Gedik
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引用次数: 2

摘要

如今,通话记录从语音转换为文本的能力使得应用文本挖掘方法从通话中提取信息成为可能。在本研究中,它的目的不仅是评估情绪(积极/消极)的呼叫,而且还衡量客户满意度和代表的表现,通过使用呼叫记录文本。使用文本挖掘方法从文本中提取新的特征。利用提取的特征,通过分类和回归方法建立预测模型,对通话记录内容进行评价。作为本研究的结果,计划利用土耳其电信呼叫中心开发的预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Call center text mining approach
Nowadays, the ability to convert call records from voice to text makes it possible to apply text mining methods to extract information from calls. In this study, it is aimed not only to evaluate the sentiment (positive/negative) of the calls in general, but also to measure the customer satisfaction and representative's performance by using call record texts. New features have been extracted from texts using text mining methods. Using the features extracted, prediction models were developed to evaluate the contents of call records by classification and regression methods. As a result of this study, it is planned to utilize the prediction models developed in Turk Telekom's call centers.
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