The Importance of Text Mining for Services Management

Shaily Malik, Dr. Shashi Kant Gupta
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Abstract

The present investigative study is a systematic as well as scientific endeavor to understand the beneficial effect of the text mining approach for the service management of the organization. This stud uses secondary qualitative data for gaining accurate insight into the present research study. Thematic analysis is done on the collected data set for gaining accurate insight into the present study. Interpretive research philosophy is chosen for this study along with the inductive research approach. This study also uses an explanatory research design for effective insight into the beneficial effect of the text mining process for the service management of the organization. The study focuses on the process of text mining which is used for analysing the client forums, call logs, tickets of customer service, and platforms of social media, news feeds, tweets and many others. It also focuses on the business that have better insights based on client expectations and it requires the areas that focus on overall improvements. The study integrates the customer communications and reviews that can identify the new features for strengthening the product offerings. It focuses on the latest technologies that provide several opportunities for improving the customer experience those results in increased profits and revenue.
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文本挖掘对服务管理的重要性
本文的调查研究是一项系统的、科学的努力,旨在了解文本挖掘方法对组织服务管理的有益影响。本研究使用二级定性数据,以获得准确的洞察到目前的研究。对收集到的数据集进行专题分析,以获得对本研究的准确见解。本研究选择了解释性的研究哲学和归纳性的研究方法。本研究亦采用解释性研究设计,以有效洞察文本挖掘过程对组织服务管理的有益效果。该研究的重点是文本挖掘的过程,用于分析客户论坛,呼叫记录,客户服务票,社交媒体平台,新闻提要,推文和许多其他。它还专注于基于客户期望的更好洞察力的业务,它需要专注于整体改进的领域。该研究集成了客户沟通和评论,可以识别新的功能,以加强产品供应。它关注的是最新技术,这些技术为改善客户体验提供了一些机会,从而增加了利润和收入。
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