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Understanding Customer Experiences Through Social Media Analysis of Three Giants of Soft Drink Industry

机译:通过三大软饮料行业巨头的社交媒体分析了解客户体验

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On social media websites, there is a huge amount of data that is available for free and can be used in a variety of ways. For the case of competitive intelligence, there are a variety of ways like analysis of user-generated content as well as analysis of competitor's data through text mining, sentiment analysis and quantitative analysis. This case study applies a verified framework based on text mining and sentiment analysis on this problem to analyze the twitter content of three giants of soft drink industry namely Coca Cola, Pepsi and Fanta. There has been a deep relationship found among number of tweets, nature of tweets and the customer engagement recorded respectively. The potential implications and suggestions have been discussed for the companies to better develop their social media competitive intelligence model.
机译:在社交媒体网站上,有大量数据是免费提供的,并且可以通过多种方式使用。对于竞争情报,可以采用多种方式,例如分析用户生成的内容以及通过文本挖掘,情感分析和定量分析来分析竞争对手的数据。本案例研究使用了一个基于文本挖掘和情感分析的经过验证的框架来解决此问题,以分析可口可乐,百事可乐和芬达三大软饮料行业的Twitter内容。分别在推文数量,推文性质和记录的客户参与度之间发现了深厚的关系。已经为公司讨论了潜在的影响和建议,以更好地开发其社交媒体竞争情报模型。

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