Smart City Gnosys

Smart city article details

Title Citizen Sentiment Analysis In Social Media Moroccan Dialect As Case Study
ID_Doc 14072
Authors Dahbi M.; Saadane R.; Mbarki S.
Year 2020
Published Lecture Notes in Intelligent Transportation and Infrastructure, Part F1409
DOI http://dx.doi.org/10.1007/978-3-030-37629-1_2
Abstract Smart cities have millions of sensors and innovative technologies in order to improve the quality of their citizens and to increase the competitiveness of urban infrastructure. Nowadays these citizens like to communicate using social media such as Facebook and Twitter, thus building a smart city is not free from these platforms that have changed citizen’s daily life and becoming a new source of real-time information. These data are named Big Data and are difficult to process with classical methods. To exploit this data, it must be well-processed to cover a wide range of smart city functions, including energy, transportation, environment, security and smart city management. The aim of this paper is to highlight the advantages of social media sentiment analytics to support smart city by detecting various events and concerns of citizens. Towards the end, an illustrative scenario analyses data on citizens’ concerns about traffic in three main cities in Morocco. © 2020, Springer Nature Switzerland AG.
Author Keywords Big Data; Sentiment analytics; Smart cities; Social media


Similar Articles


Id Similarity Authors Title Published
52027 View0.966Dahbi, M; Saadane, R; Mbarki, SSocial Media Sentiment Monitoring In Smart Cities An Application To Moroccan Dialects4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19) (2019)
59775 View0.895Davoodian Z.; Mohebi A.Unveiling Sentiment Insights In Smart Cities: Exploring The Role Of Social MediaProceeding of 8th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2024 (2024)
35891 View0.884Hodorog A.; Petri I.; Rezgui Y.Machine Learning And Natural Language Processing Of Social Media Data For Event Detection In Smart CitiesSustainable Cities and Society, 85 (2022)
47324 View0.88Kumar A.; Jaiswal A.Scalable Intelligent Data-Driven Decision Making For Cognitive CitiesEnergy Systems, 13, 3 (2022)
14095 View0.87Prabowo D.; Pamurti A.A.; Wahjoerini W.Citizens Needs For Smart Transportation Services In Indonesia: A Sentiment Analysis ApproachInternational Journal of Advanced and Applied Sciences, 11, 6 (2024)
40140 View0.87de Oliveira T.H.M.; Painho M.Open Geospatial Data Contribution Towards Sentiment Analysis Within The Human Dimension Of Smart CitiesLecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021)
6686 View0.866Mirshafee M.; Barcomb A.; Tan B.Advancing Smart Cities Through Novel Social Media Text Analysis: A Case Study Of Calgary2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 (2023)
60429 View0.864Mostafa L.; Beshir S.User Sentiment Analysis Towards Adapting Smart Cities In EgyptLecture Notes on Data Engineering and Communications Technologies, 164 (2023)
48460 View0.864Dutt S.; Ruchi; Rihal A.; Menon G.; Yadav J.; Kumari N.; Majgahe S.P.Sentiment Analysis Of Social Media Platforms For Safety In Smart CitiesLecture Notes in Networks and Systems, 516 (2023)
19185 View0.863Yue A.; Mao C.; Chen L.; Liu Z.; Zhang C.; Li Z.Detecting Changes In Perceptions Towards Smart City On Chinese Social Media: A Text Mining And Sentiment AnalysisBuildings, 12, 8 (2022)