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Mapping Ordinances and Tweets using Smart City Characteristics to Aid Opinion Mining

Published: 23 April 2018 Publication History

Abstract

This research focuses on mining ordinances (local laws) and public reactions to them expressed on social media. We place particular emphasis on ordinances and tweets relating to Smart City Characteristics (SCCs), since an important aim of our work is to assess how well a given region heads towards a Smart City. We rely on SCCs as a nexus between a seemingly infinite number of ordinances and tweets to be able to map them, and also to facilitate SCC-based opinion mining later for providing feedback to urban agencies based on public reactions. Common sense knowledge is harnessed in our approach to reflect human judgment in mapping. This paper presents our research in ordinance and tweet mapping with SCCs, including the proposed mapping approach, our initial experiments, related discussion, and future work emerging therein. To the best of our knowledge, ours is among the first works to conduct mining on ordinances and tweets for Smart Cities. This work has a broader impact with a vision to enhance Smart City growth.

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cover image ACM Other conferences
WWW '18: Companion Proceedings of the The Web Conference 2018
April 2018
2023 pages
ISBN:9781450356404
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]

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  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

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Author Tags

  1. NLP
  2. enterprise intelligence
  3. knowledge bases
  4. local laws
  5. sentiment analysis
  6. social media
  7. text mining

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  • Research-article

Funding Sources

  • ARO grant as part of the DARPA SocialSim Program
  • Department of Computer Science at Montclair State University
  • Environmental Management PhD Program at Montclair State University

Conference

WWW '18
Sponsor:
  • IW3C2
WWW '18: The Web Conference 2018
April 23 - 27, 2018
Lyon, France

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

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