Mapping urban emotions based on social networks data for detecting factors of well-being dynamics
Pages 464 - 466
Abstract
The paper presents the results of the study focused on the possibilities of analyzing the users’ discussions content, as well as their moods with reference to geolocation. The research data was collected from social network VKontakte. The data was distributed to city districts detecting citizens’ emotions in posts and reactions to them. As a result, the labeled dataset with two new features: the sentiment class and the percentage of attitude towards the class (used for further mapping) was created. The results of the work are useful for use in the process of urban management and planning the development of territories.
References
[1]
Eckert S., Kohler S. 2014. Urbanisation and health in developing countries: a systematic review. World health & population. 5(1), 7-20.
[2]
Song X., Tseng B.L., Lin C.-Y., Sun M.-T. 2006. Personalized recommendation driven by information flow. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; Seattle, WA, USA. 6–11 August 2006; 509–516.
[3]
Tang X., Yang C.C. 2012. Ranking user influence in healthcare social media. ACM Trans. Intell. Syst. Technol. (TIST). 3, 1–21.
[4]
Peng S., Wang G., Xie D. 2016. Social influence analysis in social networking big data: Opportunities and challenges. IEEE Netw. 31, 11–17.
[5]
Severyn A., Moschitti A. 2015.Twitter sentiment analysis with deep convolutional neural networks. Proceedings of the 38th international ACM SIGIR Conference on Research and Development in Information Retrieval; Santiago, Chile. 9–13 August 2015, 959–962.
[6]
Zhang L., Wang S., Liu B. 2018. Deep learning for sentiment analysis: A survey. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 8, 1253.
[7]
Tan Q., Liu N., Hu X. 2019. Deep representation learning for social network analysis. Front. Big Data. 2, 2.
[8]
Ramadhani A.M., Goo H.S. 2017. Twitter sentiment analysis using deep learning methods. Proceedings of the 2017 7th International Annual Engineering Seminar (InAES); Yogyakarta, Indonesia. 1–2 August 2017, 1–4.
Index Terms
- Mapping urban emotions based on social networks data for detecting factors of well-being dynamics
Index terms have been assigned to the content through auto-classification.
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Published In
September 2023
509 pages
ISBN:9798400707421
DOI:10.1145/3614321
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 November 2023
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- Short-paper
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- Refereed limited
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ICEGOV 2023
ICEGOV 2023: 16th International Conference on Theory and Practice of Electronic Governance
September 26 - 29, 2023
Belo Horizonte, Brazil
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Overall Acceptance Rate 350 of 865 submissions, 40%
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