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  • 标题:SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING
  • 本地全文:下载
  • 作者:Markić, Brano ; Bijakšić, Sanja ; Bevanda, Arnela
  • 期刊名称:Economic Journal
  • 印刷版ISSN:0353-359X
  • 电子版ISSN:1847-2206
  • 出版年度:2016
  • 卷号:29
  • 期号:1
  • 页码:95-107
  • 语种:English
  • 出版社:Ekonomski vjesnik
  • 摘要:

    Huge amounts of data, in the form of messages on social networks, represent a challange for digital marketing and marketing analytics when meeting the requirements, needs and customer satisfaction with services or products. Marketing strives to be a part of the overall culture based on the data and to define marketing strategies that respond to consumers and thus to provide economic benefits for the company. Therefore, the focus of marketing analysis is on the data recorded at the social networks. This paper shows one possible integration of information technology and data mining tools, with the goal of visualizing the attitudes and opinions on the social networks in the form of a word cloud, which can then further be used to create marketing strategies and improve customer relations and customer service.

  • 关键词:Text mining; word cloud; marketing analytics; R language; data mining
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