Smart City Gnosys
Smart city article details
| Title | Sentiment Analysis Of Public Services For Smart Society: Literature Review And Future Research Directions |
|---|---|
| ID_Doc | 48459 |
| Authors | Verma S. |
| Year | 2022 |
| Published | Government Information Quarterly, 39, 3 |
| DOI | http://dx.doi.org/10.1016/j.giq.2022.101708 |
| Abstract | Businesses use sentiment analysis for market insights to improve performance. Sentiment analysis application in building a smart society is immense, and there is a need to delineate the trend holistically. The present study addresses the research gap by a comprehensive bibliometric review of 353 research articles published between 2010 and 2021 to discern the performance, content, and thematic analysis. Finding points at the use of sentiment analysis for innovation, transparency, citizen participation, and improved efficiency in public services. The content analysis points to the applicability of sentiment analysis for citizens' engagement to solve social problems like traffic congestion, crime prediction, disaster management, etc. According to the strategic map, information retrieval and supervised learning are the motor themes; sentiment analysis and ubiquitous computing are the basic themes, while semantics and recommender systems are the niche themes. Thematic analysis of intellectual structure indicates sentiment analysis applications for smart governance, smart mobility, smart infrastructure, and smart living as the building blocks for smart societies. Based on a comprehensive review, future research directions and managerial implications are provided. © 2022 Elsevier Inc. |
| Author Keywords | Analytics; Sentiment analysis; Smart city; Smart society; Social computing; Social media |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
59775  | 0.886 | Davoodian Z.; Mohebi A. | Unveiling Sentiment Insights In Smart Cities: Exploring The Role Of Social Media | Proceeding of 8th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2024 (2024) |
| 14095 | 0.873 | Prabowo D.; Pamurti A.A.; Wahjoerini W. | Citizens Needs For Smart Transportation Services In Indonesia: A Sentiment Analysis Approach | International Journal of Advanced and Applied Sciences, 11, 6 (2024) |
| 47324 | 0.86 | Kumar A.; Jaiswal A. | Scalable Intelligent Data-Driven Decision Making For Cognitive Cities | Energy Systems, 13, 3 (2022) |
| 48460 | 0.858 | Dutt S.; Ruchi; Rihal A.; Menon G.; Yadav J.; Kumari N.; Majgahe S.P. | Sentiment Analysis Of Social Media Platforms For Safety In Smart Cities | Lecture Notes in Networks and Systems, 516 (2023) |
| 48464 | 0.853 | Ependi U.; Muzakir A.; Wibowo A. | Sentiment Analysis On Smart City Mobile Platform Based On Lexicon | 2023 1st IEEE International Conference on Smart Technology: Advances in Smart Technology for Sustainable Well-Being, ICE-SMARTec 2023 (2023) |