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Leveraging sentiment analysis as a predictor of risk in community engagement

Author

Listed:
  • Diana, Tony

    (Division Manager, Outreach (ANG-A6), Office of NextGen Stakeholder Collaboration and Messaging, Federal Aviation Administration, USA)

Abstract

This study proposes a methodology based on sentiment analysis to compute an ‘engagement risk priority number’ or ERPN. The ERPN is a calculation designed to help airport management rank risks in community engagement and identify outreach strategies to airport stakeholders. The ERPN is based on three components of sentiment analysis (polarity, surprise, and subjectivity of residents' sentiments and opinions) that may predict potential risks to programme implementation and airport development. The methodology leverages the latest developments in natural language processing, specifically transformers, and compares the outcomes of these newer models with those of more traditional lexicon-based algorithms.

Suggested Citation

  • Diana, Tony, 2023. "Leveraging sentiment analysis as a predictor of risk in community engagement," Journal of Airport Management, Henry Stewart Publications, vol. 17(2), pages 182-196, August.
    • Handle: RePEc:aza:jam000:y:2023:v:17:i:2:p:182-196
    as

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    More about this item

    Keywords

    airport community engagement; natural language processing; sentiment analysis; risk assessment;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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