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.
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