research-article

Developing Smart Cities Services through Semantic Analysis of Social Streams

Authors:

Cataldo Musto,

Giovanni Semeraro,

Marco de Gemmis,

Pasquale LopsAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 1401 - 1406

https://doi.org/10.1145/2740908.2742132

Published: 18 May 2015 Publication History

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Abstract

This paper presents a domain-agnostic framework for intelligent processing of textual streams coming from social networks. The framework implements a pipeline of techniques for semantic representation, sentiment analysis, automatic content classification, and provides an analytics console to get some findings from the extracted data. The effectiveness of the platform has already been proved by deploying it in two smart cities-related scenarios: in the first it was exploited to monitor the recovering state of the social capital of L'Aquila's city after the dreadful earthquake of April 2009, while in the latter a semantic analysis of the content posted on social networks was performed to build a map of the most at-risk areas of the Italian territory.

In both scenarios, the outcomes resulting from the analysis confirmed the insight that the adoption of methodologies for intelligent and semantic analysis of textual content can provide interesting findings useful to improve the understanding of very complex phenomena.

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Cited By

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Ulloa DSaleiro PRossetti RSilva E(2021)Mining social media for open innovation in transportation systems2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2016.7795549(169-174)Online publication date: 10-Mar-2021
https://dl.acm.org/doi/10.1109/ITSC.2016.7795549
Lydiri MEl Mourabit YEl Habouz Y(2021)A New Sentiment Analysis System of Climate Change for Smart City Governance Based on Deep LearningInnovations in Smart Cities Applications Volume 410.1007/978-3-030-66840-2_2(17-28)Online publication date: 13-Feb-2021
https://doi.org/10.1007/978-3-030-66840-2_2
Gongora-Svartzman GRamirez-Marquez J(2020)Combining Quality of Service and Quality of Experience to Visualize and Analyze City Services14th WCEAM Proceedings10.1007/978-3-030-64228-0_5(46-54)Online publication date: 3-Dec-2020
https://doi.org/10.1007/978-3-030-64228-0_5
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Index Terms

Developing Smart Cities Services through Semantic Analysis of Social Streams
1. Information systems
  1. Information systems applications

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Ulloa DSaleiro PRossetti RSilva E(2021)Mining social media for open innovation in transportation systems2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2016.7795549(169-174)Online publication date: 10-Mar-2021
https://dl.acm.org/doi/10.1109/ITSC.2016.7795549
Lydiri MEl Mourabit YEl Habouz Y(2021)A New Sentiment Analysis System of Climate Change for Smart City Governance Based on Deep LearningInnovations in Smart Cities Applications Volume 410.1007/978-3-030-66840-2_2(17-28)Online publication date: 13-Feb-2021
https://doi.org/10.1007/978-3-030-66840-2_2
Gongora-Svartzman GRamirez-Marquez J(2020)Combining Quality of Service and Quality of Experience to Visualize and Analyze City Services14th WCEAM Proceedings10.1007/978-3-030-64228-0_5(46-54)Online publication date: 3-Dec-2020
https://doi.org/10.1007/978-3-030-64228-0_5
Ihab MSoumaya LMohamed BHaytam HAbdelhadi F(2020)A Social Media Ontology-Based Sentiment Analysis and Community Detection Framework: Brexit Case StudyInnovations in Smart Cities Applications Edition 310.1007/978-3-030-37629-1_8(89-103)Online publication date: 1-Feb-2020
https://doi.org/10.1007/978-3-030-37629-1_8
Pereira JPasquali ASaleiro PRossetti RCacho N(2017)Characterizing geo-located tweets in brazilian megacities2017 International Smart Cities Conference (ISC2)10.1109/ISC2.2017.8090832(1-6)Online publication date: Sep-2017
https://doi.org/10.1109/ISC2.2017.8090832
Joglekar PKulkarni V(2017)Data oriented view of a smart city: A big data approach2017 International Conference on Emerging Trends & Innovation in ICT (ICEI)10.1109/ETIICT.2017.7977009(51-55)Online publication date: Feb-2017
https://doi.org/10.1109/ETIICT.2017.7977009

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A real-time knowledge extracting system from social big data using distributed architecture

A novel big data analytics framework for smart cities

Semantic Sentiment Analysis in Arabic Social Media

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