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Preliminary communication

SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING

Brano Markić ; University of Mostar, Faculty of Economics, Mostar, Bosnia and Herzegovina
Sanja Bijakšić   ORCID icon orcid.org/0000-0003-4574-7610 ; University of Mostar, Faculty of Economics, Mostar, Bosnia and Herzegovina
Arnela Bevanda ; University of Mostar, Faculty of Economics, Mostar, Bosnia and Herzegovina

Fulltext: english, PDF (300 KB) pages 95-107 downloads: 700* cite
APA 6th Edition
Markić, B., Bijakšić, S. & Bevanda, A. (2016). SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING. Ekonomski vjesnik, 29 (1), 95-107. Retrieved from https://hrcak.srce.hr/161034
MLA 8th Edition
Markić, Brano, et al. "SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING." Ekonomski vjesnik, vol. 29, no. 1, 2016, pp. 95-107. https://hrcak.srce.hr/161034. Accessed 25 Nov. 2020.
Chicago 17th Edition
Markić, Brano, Sanja Bijakšić and Arnela Bevanda. "SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING." Ekonomski vjesnik 29, no. 1 (2016): 95-107. https://hrcak.srce.hr/161034
Harvard
Markić, B., Bijakšić, S., and Bevanda, A. (2016). 'SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING', Ekonomski vjesnik, 29(1), pp. 95-107. Available at: https://hrcak.srce.hr/161034 (Accessed 25 November 2020)
Vancouver
Markić B, Bijakšić S, Bevanda A. SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING. Ekonomski vjesnik [Internet]. 2016 [cited 2020 November 25];29(1):95-107. Available from: https://hrcak.srce.hr/161034
IEEE
B. Markić, S. Bijakšić and A. Bevanda, "SENTIMENT ANALYSIS OF SOCIAL NETWORKS AS A CHALLENGE TO THE DIGITAL MARKETING", Ekonomski vjesnik, vol.29, no. 1, pp. 95-107, 2016. [Online]. Available: https://hrcak.srce.hr/161034. [Accessed: 25 November 2020]

Abstracts

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.

Keywords
Text mining; word cloud; marketing analytics; R language; data mining

Hrčak ID: 161034

URI
https://hrcak.srce.hr/161034

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