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المؤلفAlajmi, Abdullah
المؤلفPetri, Ioan
المؤلفRezgui, Yacine
المؤلفFadli, Fodil
تاريخ الإتاحة2024-03-18T08:51:18Z
تاريخ النشر2023-06
اسم المنشورProceedings of the 29th International Conference on Engineering, Technology, and Innovation: Shaping the Future, ICE 2023
المعرّفhttp://dx.doi.org/10.1109/ICE/ITMC58018.2023.10332268
الاقتباسAlajmi, A., Petri, I., Rezgui, Y., & Fadli, F. (2023, June). Social media data analysis of IoT risks in smart cities. In 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1-7). IEEE.
الترقيم الدولي الموحد للكتاب 979-835031517-2
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85181054562&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53147
الملخصSocial media has emerged as the most popular platform for individuals from all walks of life who wish to connect with one another to discuss recent news or events that have taken place all over the globe. Twitter, in particular, is among the most important social networks with users that produce real time content. Users can also create a new hashtag or a particular topic to attract other users to enter a discussion. Within the scope of this research project, our goals are to gain an understanding of the effect that social media data has on the Internet of Things (IoT) in smart cities, to provide a description of the risks that have been posed, and to determine whether each individual tweet is neutral, positive, or negative in relation to evaluation criteria. We have conducted research by studying the effects of weather and temperature and how they affect the Internet-of-Things. We use data and scenarios using the World Cup event that took place in Qatar as a prominent example because of the large number of people, services and assets allocated and associated data.
راعي المشروعThis publication was made possible by NPRP grant No. NPRP12S- 0222-190128 from the Qatar National Research Fund (a member of Qatar Foundation).
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc. (IEEE)
الموضوعData analysis
IoT Risks
Natural Language Processing
Smart cities
Social media
العنوانSocial media data analysis of IoT risks in smart cities
النوعConference Paper
dc.accessType Full Text


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