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

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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.

Keywords: Natural Language Processing; community engagement; sentiment analysis

Document Type: Research Article

Affiliations: Manager of the Outreach Division at Federal Aviation Administration, NextGen Collaboration and Messaging Office

Publication date: June 1, 2021

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  • Journal of Airport Management is the essential professional journal publishing in-depth, peer-reviewed articles and real world case studies on airport management, finance, development, ground-handling, airport-airline relations and regulation - with no advertising or sales pitches.

    Guided by an expert Editorial Board and published in association with Airports Council International, each quarterly 100-page issue publishes original, authoritative articles and case studies written by and for airport managers, ground-handling companies, airlines and regulators, as well as their advisers, service providers, researchers and academics. Each issue provides detailed analysis, new thinking, 'lessons learned' and 'how to' guides from fellow professionals around the world that can be applied in your organisation, plus the latest research in the field.
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