Title : ( What Do Websites Say about Internet of Things Challenges? A Text Mining Approach )
Authors: Mehdi Dadkhah , Mohammad Mehraeen , Fariborz Rahimnia , Khalil Kimiafar ,
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Abstract
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.
Keywords
, Internet of Things challenges, IoT adoption, smart devices, Internet of Things, latent Dirichlet Allocation
@article{paperid:1078985,
author = {Dadkhah, Mehdi and Mehraeen, Mohammad and Rahimnia, Fariborz and خلیل کیمیافر},
title = {What Do Websites Say about Internet of Things Challenges? A Text Mining Approach},
journal = {Science and Technology Libraries},
year = {2020},
volume = {39},
number = {2},
month = {February},
issn = {0194-262X},
pages = {125--141},
numpages = {16},
keywords = {Internet of Things challenges; IoT adoption; smart devices; Internet of Things; latent Dirichlet Allocation},
}
%0 Journal Article
%T What Do Websites Say about Internet of Things Challenges? A Text Mining Approach
%A Dadkhah, Mehdi
%A Mehraeen, Mohammad
%A Rahimnia, Fariborz
%A خلیل کیمیافر
%J Science and Technology Libraries
%@ 0194-262X
%D 2020
