Smart City Gnosys
Smart city article details
| Title | Advancing Smart Cities Through Novel Social Media Text Analysis: A Case Study Of Calgary |
|---|---|
| ID_Doc | 6686 |
| Authors | Mirshafee M.; Barcomb A.; Tan B. |
| Year | 2023 |
| Published | 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 |
| DOI | http://dx.doi.org/10.1109/SSCI52147.2023.10371940 |
| Abstract | In numerous cities, population expansion and technological advancements necessitate proactive modernization and integration of technology. However, the existing bureaucratic structure often hinders local officials' efforts to effectively address and monitor residents' needs and enhance the city accordingly. Understanding what people find important and useful can be inferred from their posts on social media. Twitter, as one of the most popular social media platforms, provides us with valuable data that, with the right tools and analysis, can provide insights into the performance of urban services and residents' perception of them. In this study, we used the city of Calgary as an exemplar to gather tweets and analyze topics relating to city development, urban planning, and minorities. Natural language processing (NLP) techniques were used and developed to preprocess stored tweets, classify the emotions, and identify the topics present in the dataset to eventually provide a set of topics with the prevalent emotion in that topic. We utilized a variety of methods to analyze the collected data. BERTopic for topic modeling and few-shot learning using Setfit for emotion analysis outperformed the others. Hence, we identify issues related to city development, senior citizens, taxes, and unemployment using these methods, and we demonstrate how delving into these analyses can improve urban planning. © 2023 IEEE. |
| Author Keywords | Analytics; Emotion analysis; Natural language processing; Requirements gathering; Smart city; Smart society; Social computing; Social media; Topic modeling |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
35891  | 0.903 | Hodorog A.; Petri I.; Rezgui Y. | Machine Learning And Natural Language Processing Of Social Media Data For Event Detection In Smart Cities | Sustainable Cities and Society, 85 (2022) |
| 59416 | 0.885 | Kumi S.; Snow C.; Lomotey R.K.; Deters R. | Uncovering Concerns Of Citizens Through Machine Learning And Social Network Sentiment Analysis | IEEE Access, 12 (2024) |
| 40140 | 0.879 | de Oliveira T.H.M.; Painho M. | Open Geospatial Data Contribution Towards Sentiment Analysis Within The Human Dimension Of Smart Cities | Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021) |
| 32033 | 0.877 | Kumi S.; Lomotey R.K.; Deters R. | Integrating Machine Learning And Social Sensing In Smart City Digital Twin For Citizen Feedback | Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023 (2023) |
| 49304 | 0.877 | Blasi S.; Gobbo E.; Sedita S.R. | Smart Cities And Citizen Engagement: Evidence From Twitter Data Analysis On Italian Municipalities | Journal of Urban Management, 11, 2 (2022) |
| 3083 | 0.876 | Emek M.S.; Parlak I.B. | A New Method Of Smart City Modeling Using Big Data Techniques | Lecture Notes in Networks and Systems, 759 LNNS (2023) |
| 52017 | 0.876 | Doran, D; Severin, K; Gokhale, S; Dagnino, A | Social Media Enabled Human Sensing For Smart Cities | AI COMMUNICATIONS, 29, 1 (2016) |
| 17151 | 0.876 | Kharlamov A.A.; Pilgun M. | Data Analytics For Predicting Situational Developments In Smart Cities: Assessing User Perceptions | Sensors, 24, 15 (2024) |
| 61813 | 0.875 | Wilson M.; Decaminada T.; Darcy C.; Kassens-Noor E. | Who Speaks For Smart Cities?: Social Media, Influence, And Stories Of Innovation | Routledge Companion to Creativity and the Built Environment (2024) |
| 33169 | 0.873 | Zheng Z.; Sieber R.E. | Interpreting The Smart City Through Topic Modeling | Urban Book Series, Part F270 (2023) |