The new eye of smart city: Novel citizen Sentiment Analysis in Twitter

Mengdi Li, Eugene Ch'ng, Alain Chong, Simon See

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)

Abstract

Governments across the world are trying to move closer to their citizens for better smart city monitoring and governance. Twitter Sentiment Analysis is opening new opportunities to achieve it. In this paper, a methodological framework to collect, pre-process, analyse and map citizen sentiment from Twitter in helping the Governments monitor their citizens' moods is proposed based on the prior works. Multinomial Naïve Bayes classifier is used to build a sentiment classifier, which employs a variety of features including a specific microblogging feature - emoji. Our proposed sentiment model outperforms the top system in the task of Sentiment Analysis in Twitter in SemEval-2013 in terms of averaged F scores. The novel feature emoji has proved to be useful for Sentiment Analysis in Twitter data in this work. We also apply our model to real-world tweets and present how Government agencies can track the fluctuation of citizens' moods using mapping techniques.

Original languageEnglish
Title of host publicationICALIP 2016 - 2016 International Conference on Audio, Language and Image Processing - Proceedings
EditorsFa-Long Luo, Xiaoqing Yu, Wanggen Wan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages557-562
Number of pages6
ISBN (Electronic)9781509006533
DOIs
Publication statusPublished - 7 Feb 2017
Event5th International Conference on Audio, Language and Image Processing, ICALIP 2016 - Shanghai, China
Duration: 11 Jul 201612 Jul 2016

Publication series

NameICALIP 2016 - 2016 International Conference on Audio, Language and Image Processing - Proceedings

Conference

Conference5th International Conference on Audio, Language and Image Processing, ICALIP 2016
Country/TerritoryChina
CityShanghai
Period11/07/1612/07/16

Keywords

  • Sentiment Analysis
  • Smart City Governance
  • Twitter

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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