What Do Websites Say about Internet of Things Challenges? A Text Mining Approach

被引：4
|
作者：
Dadkhah M. [1 ]
Lagzian M. [1 ]
Rahimnia F. [1 ]
Kimiafar K. [2 ]
机构：
[1] Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad
[2] Department of Medical Records and Health Information Technology, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad
来源：
Science and Technology Libraries | 2020年 / 39卷 / 02期
关键词：
Internet of Things; Internet of Things challenges; IoT adoption; latent Dirichlet Allocation; smart devices;
D O I：
10.1080/0194262X.2020.1715320
中图分类号：
学科分类号：
摘要：
Internet of Things (IoT) is a popular technological paradigm offering several promised advantages. IoT has been facing different challenges discussed by various researchers. The available literature on IoT challenges is mostly based on experimental studies or reviews. The analysis of webpages as a valuable database can be a good idea to provide an insight into IoT challenges. Thus, this paper was aimed at providing an overall view of webpages discussing IoT challenges. In this regard, the text mining approach was implemented to analyze the related webpages. The obtained results revealed that challenges relate to the security of IoT devices, connectivity, data processing, and storage have been the most prevalent topics in the selected webpages. © 2020, © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
引用
收藏
页码：125 / 141
页数：16
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