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

N. Sumathi, T. Sheela
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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.
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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。
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