Research and implementation of text classification method for customer service orders based on multi-model fusion

Due to the large amount of order categories and their hierarchical associations, traditional manual order classification method of customer service in telecom call center has the problems of long archiving time, low efficiency and unsustainable accuracy.To solve this problem, a novel text classifica...

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Main Authors: Liang ZHANG, Xiaoju DAI, Rong ZHENG, Tongze He
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2021-11-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021236/
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author Liang ZHANG
Xiaoju DAI
Rong ZHENG
Tongze He
author_facet Liang ZHANG
Xiaoju DAI
Rong ZHENG
Tongze He
author_sort Liang ZHANG
collection DOAJ
description Due to the large amount of order categories and their hierarchical associations, traditional manual order classification method of customer service in telecom call center has the problems of long archiving time, low efficiency and unsustainable accuracy.To solve this problem, a novel text classification algorithm based on multi-model fusion was proposed, which intelligently classify orders with multiple models based on data characteristics and their hierarchical associations, the effectiveness of this method was verified.The current manual operation process was optimized and operation efficiency was enhanced, which support the intelligent transformation and upgradation of existing customer service system.
format Article
id doaj-art-b8cdc40c5bbd49f1a5ca4e84ddc59ce5
institution Kabale University
issn 1000-0801
language zho
publishDate 2021-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-b8cdc40c5bbd49f1a5ca4e84ddc59ce52025-01-15T03:33:02ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-11-0137869659815908Research and implementation of text classification method for customer service orders based on multi-model fusionLiang ZHANGXiaoju DAIRong ZHENGTongze HeDue to the large amount of order categories and their hierarchical associations, traditional manual order classification method of customer service in telecom call center has the problems of long archiving time, low efficiency and unsustainable accuracy.To solve this problem, a novel text classification algorithm based on multi-model fusion was proposed, which intelligently classify orders with multiple models based on data characteristics and their hierarchical associations, the effectiveness of this method was verified.The current manual operation process was optimized and operation efficiency was enhanced, which support the intelligent transformation and upgradation of existing customer service system.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021236/text classificationcustomer service ordermulti-model fusionoperational efficiency
spellingShingle Liang ZHANG
Xiaoju DAI
Rong ZHENG
Tongze He
Research and implementation of text classification method for customer service orders based on multi-model fusion
Dianxin kexue
text classification
customer service order
multi-model fusion
operational efficiency
title Research and implementation of text classification method for customer service orders based on multi-model fusion
title_full Research and implementation of text classification method for customer service orders based on multi-model fusion
title_fullStr Research and implementation of text classification method for customer service orders based on multi-model fusion
title_full_unstemmed Research and implementation of text classification method for customer service orders based on multi-model fusion
title_short Research and implementation of text classification method for customer service orders based on multi-model fusion
title_sort research and implementation of text classification method for customer service orders based on multi model fusion
topic text classification
customer service order
multi-model fusion
operational efficiency
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021236/
work_keys_str_mv AT liangzhang researchandimplementationoftextclassificationmethodforcustomerserviceordersbasedonmultimodelfusion
AT xiaojudai researchandimplementationoftextclassificationmethodforcustomerserviceordersbasedonmultimodelfusion
AT rongzheng researchandimplementationoftextclassificationmethodforcustomerserviceordersbasedonmultimodelfusion
AT tongzehe researchandimplementationoftextclassificationmethodforcustomerserviceordersbasedonmultimodelfusion