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

Manish Puri, Xu Du, Aparna S. Varde, Gerard De Melo

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

9 Scopus citations

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.

Original languageEnglish
Title of host publicationThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
PublisherAssociation for Computing Machinery, Inc
Pages1721-1728
Number of pages8
ISBN (Electronic)9781450356404
DOIs
StatePublished - 23 Apr 2018
Event27th International World Wide Web, WWW 2018 - Lyon, France
Duration: 23 Apr 201827 Apr 2018

Publication series

NameThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018

Conference

Conference27th International World Wide Web, WWW 2018
CountryFrance
CityLyon
Period23/04/1827/04/18

Keywords

  • enterprise intelligence
  • knowledge bases
  • local laws
  • NLP
  • sentiment analysis
  • social media
  • text mining

Fingerprint Dive into the research topics of 'Mapping Ordinances and Tweets using Smart City Characteristics to Aid Opinion Mining'. Together they form a unique fingerprint.

Cite this