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Application of Big Data and text mining methods and technologies in modern business analyzing social networks data about traffic tracking

机译:大数据和文本挖掘方法与技术在现代企业分析流量跟踪社交网络数据中的应用

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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.
机译:大数据正在成为最重要的技术趋势之一,并且可能会发生巨大的变化,组织可以使用这些信息来改善客户的体验并转变自己的业务模型。大数据作为一个概念在技术世界中是新事物,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带来了巨大的利益和挑战。通过社交网络浮动的信息量每天都在增加,并且如果处理得当,就代表了丰富的数据源。本文的目的是显示一个具体示例,说明使用文本挖掘方法和技术从社交网络通过社交网络在大数据上实施该系统的收益,以及语义处理和聚类,存储以及以后进行检查和处理的可能性。

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