Smart governance through opinion mining of public reactions on ordinances

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This work focuses on the area of Smart Governance in Smart Cities, which entails transparency in government through public involvement. Specifically, it describes our research on mining urban ordinances or local laws and the public reactions to them expressed on the social media site Twitter. We mine ordinances and tweets related to each other through their mutual connection with Smart City Characteristics (SCCs) and conduct sentiment analysis of relevant tweets for analyzing opinions of the public on local laws in the given urban region. This helps assess how well that region heads towards a Smart City based on (1) how closely ordinances map to the respective SCCs and (2) the extent of public satisfaction on ordinances related to those SCCs. The mining process relies on Commonsense Knowledge (CSK), i.e., knowledge that is obvious to humans but needs to be explicitly fed into machines for automation. CSK is useful in filtering during tweet selection, conducting SCC-based ordinancetweet mapping and performing sentiment analysis of tweets. This paper presents our work in mapping ordinances to tweets through single or multiple SCCs and opinion mining of tweets along with an experimental evaluation and a discussion with useful recommendations.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018
PublisherIEEE Computer Society
Pages838-845
Number of pages8
ISBN (Electronic)9781538674499
DOIs
StatePublished - 13 Dec 2018
Event30th International Conference on Tools with Artificial Intelligence, ICTAI 2018 - Volos, Greece
Duration: 5 Nov 20187 Nov 2018

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2018-November
ISSN (Print)1082-3409

Other

Other30th International Conference on Tools with Artificial Intelligence, ICTAI 2018
CountryGreece
CityVolos
Period5/11/187/11/18

Fingerprint

Smart city
Transparency
Automation

Keywords

  • Big Data
  • Classification
  • Commonsense Knowledge
  • Data Mining
  • Local Laws
  • Machine Learning
  • Sentiment Analysis
  • Smart Cities
  • Social Media
  • Urban Policy

Cite this

Puri, M., Varde, A., Du, X., & De Melo, G. (2018). Smart governance through opinion mining of public reactions on ordinances. In Proceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018 (pp. 838-845). [8576129] (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2018-November). IEEE Computer Society. https://doi.org/10.1109/ICTAI.2018.00131
Puri, Manish ; Varde, Aparna ; Du, Xu ; De Melo, Gerard. / Smart governance through opinion mining of public reactions on ordinances. Proceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018. IEEE Computer Society, 2018. pp. 838-845 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI).
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abstract = "This work focuses on the area of Smart Governance in Smart Cities, which entails transparency in government through public involvement. Specifically, it describes our research on mining urban ordinances or local laws and the public reactions to them expressed on the social media site Twitter. We mine ordinances and tweets related to each other through their mutual connection with Smart City Characteristics (SCCs) and conduct sentiment analysis of relevant tweets for analyzing opinions of the public on local laws in the given urban region. This helps assess how well that region heads towards a Smart City based on (1) how closely ordinances map to the respective SCCs and (2) the extent of public satisfaction on ordinances related to those SCCs. The mining process relies on Commonsense Knowledge (CSK), i.e., knowledge that is obvious to humans but needs to be explicitly fed into machines for automation. CSK is useful in filtering during tweet selection, conducting SCC-based ordinancetweet mapping and performing sentiment analysis of tweets. This paper presents our work in mapping ordinances to tweets through single or multiple SCCs and opinion mining of tweets along with an experimental evaluation and a discussion with useful recommendations.",
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Puri, M, Varde, A, Du, X & De Melo, G 2018, Smart governance through opinion mining of public reactions on ordinances. in Proceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018., 8576129, Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, vol. 2018-November, IEEE Computer Society, pp. 838-845, 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, Volos, Greece, 5/11/18. https://doi.org/10.1109/ICTAI.2018.00131

Smart governance through opinion mining of public reactions on ordinances. / Puri, Manish; Varde, Aparna; Du, Xu; De Melo, Gerard.

Proceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018. IEEE Computer Society, 2018. p. 838-845 8576129 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Puri M, Varde A, Du X, De Melo G. Smart governance through opinion mining of public reactions on ordinances. In Proceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018. IEEE Computer Society. 2018. p. 838-845. 8576129. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI). https://doi.org/10.1109/ICTAI.2018.00131