大数据和文本挖掘方法和技术在现代商业中的应用分析社交网络数据的流量跟踪

E. Žunić, Almir Djedovic, D. Donko
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引用次数: 12

摘要

大数据正在成为最重要的技术趋势之一,它有可能带来巨大的变化,在这种变化中,组织利用信息来改善客户体验,改变自己的商业模式。大数据作为一个概念在技术领域是全新的,因此需要在技术或商业意义上进行研究。大量网络的管理和分析为所有组织提供了巨大的利益和挑战。通过社交网络漂浮的信息量每天都在增加,如果处理得当,就会成为丰富的数据来源。本文的目的是通过一个具体的例子来展示使用文本挖掘方法和技术在社交网络大数据上实现的系统的利润,以及语义处理和聚类,存储和以后检查和处理的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Big Data and text mining methods and technologies in modern business analyzing social networks data about traffic tracking
Big Data is becoming one of the most important technology trends with a potential for a dramatic change in which organizations use information in order to improve the customer's experience and transform their own business models. Big Data as a concept is new in the world of technology and therefore requires research in technological or business sense. Management and analysis of large amount of network offer huge benefits and challenges for all organizations. The amount of information floating through social networks increases every day, and represents a rich source of data, if it is properly processed. The aim of this paper is to show on a concrete example the profit of the system implemented over Big Data from social networks using Text Mining methods and technologies, as well as semantic processing and clustering, storaging and possibility of later examination and treatment.
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