Social Media Analytics and Internet of Things: Survey

被引:4
作者
Ayele, Workneh Yilma [1 ]
Juell-Skielse, Gustaf [1 ]
机构
[1] Stockholm Univ, Dept Comp & Syst Sci, Stockholm, Sweden
来源
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND MACHINE LEARNING (IML'17) | 2017年
关键词
Social Media Analytics; Social Media Mining; Internet of Things; Data Mining; MACHINE; INFORMATION;
D O I
10.1145/3109761.3158379
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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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页数:11
相关论文
共 68 条
  • [1] Social Media Analytics for Smart Health
    Abbasi, Ahmed
    Adjeroh, Donald
    [J]. IEEE INTELLIGENT SYSTEMS, 2014, 29 (02) : 60 - 64
  • [2] Aggarwal C. C, 2013, Managing and Mining Sensor Data
  • [3] Aggarwal CC, 2011, SOCIAL NETWORK DATA ANALYTICS, P1
  • [4] Akoumianakis D., 2012, 2012 4th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2012), P132, DOI 10.1109/iNCoS.2012.121
  • [5] [Anonymous], 2013, ARXIV13124617
  • [6] [Anonymous], P ACM INT C WEB INT
  • [7] [Anonymous], 2012, P 18 ACM SIGKDD INT
  • [8] [Anonymous], 2014, P BIOLINKSIG 2014
  • [9] Asur S., 2010, Proceedings 2010 IEEE/ACM International Conference on Web Intelligence-Intelligent Agent Technology (WI-IAT), P492, DOI 10.1109/WI-IAT.2010.63
  • [10] Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine and Particle Swarm Optimization
    Basari, Abd Samad Hasan
    Hussin, Burairah
    Ananta, I. Gede Pramudya
    Zeniarja, Junta
    [J]. MALAYSIAN TECHNICAL UNIVERSITIES CONFERENCE ON ENGINEERING & TECHNOLOGY 2012 (MUCET 2012), 2013, 53 : 453 - 462