research-article

Social media analytics and internet of things: survey

Authors:

Workneh Yilma Ayele,

Gustaf Juell-SkielseAuthors Info & Claims

IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning

Article No.: 53, Pages 1 - 11

https://doi.org/10.1145/3109761.3158379

Published: 17 October 2017 Publication History

Abstract

Due to the emergence of social media, there is a paradigm shift in the area of information production, processing and consumption. Hence, investigation in the utilization of open social media data is a relevant research topic. The openness of data, social media data, enables innovation and societal value creation. Social media analytics is an evolving research domain with interdisciplinary methods that are common in data mining such as text mining, social network analysis, trend analysis, and sentiment analysis. Also, social media analytics deals with development and evaluation of frameworks and informatics tools to process noisy and unstructured social media data. On the other hand, Internet of Things (IoT) enables the utilization of digital artifacts with well-established solutions and allows things to be connected regardless of location and time. However, a literature review about social media analytics and IoT integration is missing. In this paper, we conducted a systematic literature review of social media analytics and IoT integration. The literature review indicates that there are fewer research works done in the area of social media analytics and IoT compared to Data Mining and IoT. This paper facilitates discussion and elicits research potentials in social media analytics and IoT integration.

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Cited By

Ashok HGanesan SSomasiri N(2023)Exploring the Intersection of IoT and Blockchain: An Analysis of Security and Privacy Risks2023 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI56745.2023.10128281(1-4)Online publication date: 23-Jan-2023
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Social media analytics and internet of things: survey

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cover image ACM Other conferences

IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning

October 2017

581 pages

ISBN:9781450352437

DOI:10.1145/3109761

General Chairs:
Hani Hamdan
University of Paris-Saclay, Paris, France
,
Djallel Eddine Boubiche
University of Batna, Algeria
,
Program Chair:
Fanny Klett
German Workforce ADL Partnership Laboratory, Germany

Copyright © 2017 ACM.

© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Published: 17 October 2017

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IML 2017: International Conference on Internet of Things and Machine Learning

October 17 - 18, 2017

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Cited By

Ashok HGanesan SSomasiri N(2023)Exploring the Intersection of IoT and Blockchain: An Analysis of Security and Privacy Risks2023 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI56745.2023.10128281(1-4)Online publication date: 23-Jan-2023
https://doi.org/10.1109/ICCCI56745.2023.10128281
Mondal SMondal SAdhikari S(2023)Applications of Big Data in Various Fields: A SurveyRecent Trends in Intelligence Enabled Research10.1007/978-981-99-1472-2_19(221-233)Online publication date: 23-Jun-2023
https://doi.org/10.1007/978-981-99-1472-2_19
Rahman MReza H(2022)A Systematic Review Towards Big Data Analytics in Social MediaBig Data Mining and Analytics10.26599/BDMA.2022.90200095:3(228-244)Online publication date: Sep-2022
https://doi.org/10.26599/BDMA.2022.9020009
Manzoor ARehman ZShaheen MKhan M(2022)Data mining of IoT based sentiments to classify political opinionsJournal of Experimental & Theoretical Artificial Intelligence10.1080/0952813X.2022.209340636:4(453-468)Online publication date: 26-Jun-2022
https://doi.org/10.1080/0952813X.2022.2093406
Zachlod CSamuel OOchsner AWerthmüller S(2022)Analytics of social media data – State of characteristics and applicationJournal of Business Research10.1016/j.jbusres.2022.02.016144(1064-1076)Online publication date: May-2022
https://doi.org/10.1016/j.jbusres.2022.02.016
Rahman MReza H(2021)Big Data Analytics in Social Media: A Triple T (Types, Techniques, and Taxonomy) StudyITNG 2021 18th International Conference on Information Technology-New Generations10.1007/978-3-030-70416-2_62(479-487)Online publication date: 5-Jun-2021
https://doi.org/10.1007/978-3-030-70416-2_62
Ayele WAkram I(2019)Identifying Emerging Trends and Temporal Patterns About Self-driving Cars in Scientific LiteratureUrban Water Management for Future Cities10.1007/978-3-030-17798-0_29(355-372)Online publication date: 24-Apr-2019
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