TOOLS COLLECT CUSTOMER DATA FROM SOCIAL NETWORKS, APPLICATIONS FOR SMALL AND MEDIUM ENTERPRISES
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Received: 30/11/19                Revised: 25/05/20                Published: 29/05/20Abstract
Resonance in recent years of digital technologies has breakthroughs (such as cloud computing, internet of things, big data, artificial intelligence ...) has signaled that great changes are beginning to happen. out, known in many places as the fourth industrial revolution. Along with the 4.0 revolution, with the strong development of e-commerce makes the promotion of business, trade and promotion of products and services taking place throughout the Social information channels, especially facebook social network. Users share their opinions, comments, reviews about products and industries on social networks. And businesses through that will have the opportunity to understand their customers, know what topics they are interested in on social networks. Since then, we have come up with appropriate and effective business strategies. Therefore, we build a data collection support tool with the ability to collect data intelligently, promptly, and classify necessary data, which is the optimal solution for small and medium enterprises in Vietnam in the digital technology.
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[1]. M. Johnsen, The future of artificial intelligence in digital marketing. United States of America, ISBN:978-1976001062, 2017.
[2]. Simon Kemp, “Digital in 2018: world’s internet users pass the 4 billion mark”, We Are Social Ltd, 2018. [Online]. Available: https://wearesocial.com/blog/2018/01/global-digital-report-2018. [Accessed Jan. 30, 2020].
[3]. M. H. Pattankar, Social Media Marketting. Lulu publication, ISBN:978-1-387-71111-6, 2018.
[4]. Buzzmetrics Joint Stock Company, “Insight the target customers: How social listening tools collect data?”, Buzzmetrics Joint Stock Company 2014. [Online]. Available: https://buzzmetrics.com/. [Accessed Jan. 30, 2020].
[5]. James Choi, “The 29 Best AI Chatbot Building Platforms For Any Business”, chatbots.org. [Online]. Available: https://chatbots.org/best-ai-chatbot-tools# [Accessed Jan. 30, 2020].
[6]. S. Gregory, Finding Overlapping Communities Using Disjoint Community Detection Algorithms. CompleNet, pp. 47-61, 2009.
[7]. C. Wang, J. Han, and R. Discovery, Encyclopedia of Social Network Analysis and Mining. Springer, pp. 1589-1598, 2014.
[8]. Q. T. Ha, and M. V. Tran, Analysis and mining social network, VNU - University of Engineering and Technology, 2016.Refbacks
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