Gathering Public Opinion about an Architectural Project: A Text Mining Approach
Abstract
Public opinion is growing in importance due to the widespread use of social media and the fact that people freely express their opinions on any subject on social media. It is important to include the public in the built environment because it may provide valuable feedback and enable people to share their skills, contribute to the creation of a solution and a choice, and raise awareness of the value of their neighborhood. The article aims to propose a framework for evaluating how an architectural project is perceived by the general public via the use of a machine learning model. The Tulip Tower in London has been selected as a case study to demonstrate how this framework can be applied in practice. Tweets about the Tulip Tower in London from 2018 to 2021 were collected and then have been reviewed and scored. According to the findings, this approach enables the project's current public opinion to be tracked, public concerns to be identified and addressed in real-time in the early design stage, and the project to be re-evaluated in light of the data collected.
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