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    Geo-referencing as a connector between user reviews and urban environment quality

    Ballatore, Andrea and Pang, A. and Pozzana, Iacopo and Prifti, Y. and Provetti, Alessandro (2019) Geo-referencing as a connector between user reviews and urban environment quality. In: 5th International Conference on Computational Social Science IC2S2, 17-20 Jul 2019, Amsterdam, The Netherlands. (In Press)

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    Abstract

    The primary objective of this research is to understand the relationship between the positivity of user-generated content, namely Airbnb reviews and the “attractiveness” of the neighbourhood of the listing. Focussing on London wards and their Airbnb listings, we could identify some features which consistently signal positive sentiment and used best-subset selection to identify an overall relationship. We identified the types of features most commonly associated with positive sentiment before discussing how this information be used to influence urban development. Whilst analysis of the Airbnb market has been a popular area of study lately, to the best of our knowledge this specific research question has not been considered.

    Metadata

    Item Type: Conference or Workshop Item (Paper)
    Keyword(s) / Subject(s): User reviews; Geo-referenced data; Sentiment analysis; Urban Data Science
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    School of Social Sciences, History and Philosophy > Department of Geography
    Research Centres and Institutes: Data Analytics, Birkbeck Institute for
    Depositing User: Andrea Ballatore
    Date Deposited: 03 Sep 2019 13:01
    Last Modified: 30 Jun 2020 00:02
    URI: https://eprints.bbk.ac.uk/id/eprint/27360

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