Improving messaging to airport community residents: An application of sentiment analysis to community engagement

Natural Language Processing has made significant progress over the last decades with the development of open-source software and dedicated libraries. Sentiment analysis has become a best practice in both private and public organisations. While airports have utilised sentiment analysis to assess their image and level of service, it has not been extensively used as a tool to be proactive when airport operators engage community residents. This analysis shows how sentiment analysis can be used to anticipate residents’ attitudes based on changes in key operational factors.

• Record URL:
  https://www.ingentaconnect.com/content/hsp/cam/2021/00000015/00000003/art00009
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17501938
• Supplemental Notes:
  • Abstract reprinted with permission from Henry Stewart Publications.
• Authors:
  • Diana, Tony
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Pagination: 304-312
• Serial:
  • Journal of Airport Management
  • Volume: 15
  • Issue Number: 3
  • Publisher: Henry Stewart Publications
  • ISSN: 1750-1938
  • EISSN: 1750-1946
  • Serial URL: https://www.henrystewartpublications.com/jam

Subject/Index Terms

• TRT Terms: Airport operations; Attitudes; Communities; Data analysis; Machine learning; Outreach
• Subject Areas: Aviation; Data and Information Technology; Society;

Filing Info

• Accession Number: 01789484
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 29 2021 11:32AM