short-paper

Using Social Network to Support Smart City Initiatives

Authors:

Mickael Figueredo,

Arthur Emanuel,

Hiarley Farias,

Nelio CachoAuthors Info & Claims

WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web

Pages 101 - 104

https://doi.org/10.1145/2820426.2820458

Published: 27 October 2015 Publication History

Abstract

A central issue in the context of smart cities is for one to be able to acquire timely information about city events for purposes ranging from being able to act promptly in response to events to just monitoring and collecting statistics about them. This paper describes an initial framework focused on processing messages posted in the Twitter social network. Key issues are the high throughput -- a large volume of data per second that needs to be processed, and the need to process ill formed natural language texts. With these in mind the framework has pipelined modules for robust, fast, real time tweet acquisition and storage, filtering of several kinds, natural language processing and sentiment analysis, that feed a final analysis and visualization module. A case study of sentiment analysis during the FIFA World Cup 2014 in Brazil is used to validate the effort made so far.

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Cited By

Lorimer PDiec VKantarci B(2017)Participatory detection of identity theft on mobile social platforms2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)10.1109/GlobalSIP.2017.8309077(833-837)Online publication date: Nov-2017
https://doi.org/10.1109/GlobalSIP.2017.8309077

Index Terms

Using Social Network to Support Smart City Initiatives
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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cover image ACM Other conferences

WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web

October 2015

266 pages

ISBN:9781450339599

DOI:10.1145/2820426

General Chairs:
Marco Antônio Pinheiro de Cristo
UFAM, Brazil
,
David Fernandes de Oliveira
UFAM, Brazil
,
Program Chairs:
Adriano C. Machado Pereira
UFMG, Brazil
,
Fabricio Benevenuto
UFMG, Brazil
,
Marcelo Moreno
UFJF, Brazil
,
Valter Roesler
UFRGS, Brazil

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

CYTED: Ciência Y Tecnologia Para El Desarrollo
SBC: Brazilian Computer Society
FAPEAM: Fundacao de Amparo a Pesquisa do Estado do Amazonas
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CGIBR: Comite Gestor da Internet no Brazil
CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2015

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Webmedia '15

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CYTED
SBC
FAPEAM
CNPq
CGIBR
CAPES

Webmedia '15: 21st Brazilian Symposium on Multimedia and the Web

October 27 - 30, 2015

Manaus, Brazil

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WebMedia '15 Paper Acceptance Rate 21 of 61 submissions, 34%;

Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

Lorimer PDiec VKantarci B(2017)Participatory detection of identity theft on mobile social platforms2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)10.1109/GlobalSIP.2017.8309077(833-837)Online publication date: Nov-2017
https://doi.org/10.1109/GlobalSIP.2017.8309077

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