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:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17501938
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Supplemental Notes:
- Abstract reprinted with permission from Henry Stewart Publications.
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Authors:
- Diana, Tony
- Publication Date: 2021
Language
- English
Media Info
- Media Type: Web
- Pagination: 304-312
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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