An empirical study on analyzing the distortion detection on OSN using NLP & SA in banking institution

N. Sumathi, T. Sheela
{"title":"An empirical study on analyzing the distortion detection on OSN using NLP & SA in banking institution","authors":"N. Sumathi, T. Sheela","doi":"10.1109/ICCCT2.2017.7972246","DOIUrl":null,"url":null,"abstract":"Now days customer expect the company's business how to listen, respond and suggest services through social network. Based on the customer engagement of social channels is approximately nine times faster than social network. The customer will expect banks to make use of social channels. Approximately two billion people using social media around world, and engage the customer on the social channels in banks. In order to improve the product and service development, marketing, business performance and risk management, banks can take out key insights that will enable on the social media. By analyzing the huge volumes of information available on social media is to deliver quicker and more efficient customer service and customized financial advice. Bank needs the customer, to build the social media strategies, in order to drive reliability, revenue and success is all about the customer experience.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT2.2017.7972246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Now days customer expect the company's business how to listen, respond and suggest services through social network. Based on the customer engagement of social channels is approximately nine times faster than social network. The customer will expect banks to make use of social channels. Approximately two billion people using social media around world, and engage the customer on the social channels in banks. In order to improve the product and service development, marketing, business performance and risk management, banks can take out key insights that will enable on the social media. By analyzing the huge volumes of information available on social media is to deliver quicker and more efficient customer service and customized financial advice. Bank needs the customer, to build the social media strategies, in order to drive reliability, revenue and success is all about the customer experience.
基于NLP和SA的银行机构数据OSN失真检测实证研究
如今,客户期望公司的业务如何通过社交网络来倾听、回应和建议服务。基于社交渠道的用户粘性大约比社交网络快9倍。客户会期望银行利用社会渠道。全球约有20亿人使用社交媒体,并通过银行的社交渠道吸引客户。为了改善产品和服务开发、营销、业务绩效和风险管理,银行可以利用社交媒体获取关键见解。通过分析社交媒体上的大量信息,可以提供更快、更有效的客户服务和定制的金融建议。银行需要客户,建立社会媒体战略,以推动可靠性,收入和成功都是关于客户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信