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

Thumbnail Image

Files

Understanding Airport Community Sentiment Revised (1).pdf (441.36 KB)

Links to Files

https://www.henrystewartpublications.com/jam/v15

Permanent Link

http://hdl.handle.net/11603/23060

Collections

UMBC Data Science
UMBC Faculty Collection

Author/Creator

Author/Creator ORCID

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

Date

2021-06-01

Type of Work

journal articles
Text

Department

Program

Citation of Original Publication

Diana, Tony. "Improving messaging to airport community residents: An application of sentiment analysis to community engagement." Journal of Airport Management, 15, no. 3 (1 June, 2021):304-312, . https://www.henrystewartpublications.com/jam/v15

Rights

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.
Public Domain Mark 1.0

Subjects

Abstract

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.