Can We Leverage Text Analysis to Inform Policy Priorities Through a Community Engagement Grid?

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https://journals.sagepub.com/doi/full/10.1177/03611981231213084

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https://doi.org/10.1177/03611981231213084
 http://hdl.handle.net/11603/36345

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UMBC Data Science
UMBC Faculty Collection

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Author/Creator ORCID

https://orcid.org/0000-0002-6692-1131

Date

2024-01-12

Type of Work

journal articles
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Citation of Original Publication

Diana, Tony. “Can We Leverage Text Analysis to Inform Policy Priorities Through a Community Engagement Grid?” Transportation Research Record 2678, no. 7 (July 1, 2024): 1100–1110. https://doi.org/10.1177/03611981231213084.

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract

The implementation of new performance-based navigation procedures at an East Coast airport in 2016 required the airport authority to step up its engagement with airport community residents. This case study leverages natural language processing to explain changes in the sentiments of airport community residents from 2015 to 2021. Natural language processing algorithms made it possible to create a community engagement grid that highlights issues identified in digital prints and social media and allows decision-makers to prioritize them based on awareness and urgency.