
This paper discusses a case study of users’ perceptions of the Queen Elizabeth Olympic Park in London through an object-oriented data analysis of the text of Tweets. Starting with the gathering of text data from Twitter, the interdisciplinary team of researchers explores the potential of semantic analysis to provide designers with a tool for describing the experience of a place.
Autor / Author: | Riva, Paola; Sturla, Paola; Calissano, Anna; Vantini, Simone |
Institution / Institution: | Politecnico di Milano, Milan/Italy; Harvard Graduate School of Design, Massachusetts/USA; Politecnico di Milano, Milan/Italy; Politecnico di Milano, Milan/Italy |
Seitenzahl / Pages: | 15 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 4-2019 |
Tagung / Conference: | Digital Landscape Architecture 2019 – Landscape: Informed by Science, Shaped by Design |
Veranstaltungsort, -datum / Venue, Date: | Anhalt University, Dessau, Germany 22-05-19 - 25-05-19 |
Schlüsselwörter (de): | |
Keywords (en): | Object-oriented data analysis, statistical text analysis, text embedding, perception, Queen Elizabeth Olympic Park, exploration, interdisciplinary studies |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537663005 |
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