Integrated Analysis of Social Media and Hedonic House Prices for Neighbourhood Change
Main website: https://urban-analytics.github.io/INTEGRATE
The files for the website are in jupyter book format, stored in the web directory.
This research project aims to develop innovative methods for analysing changes in neighbourhoods over time and space by combining social media data (SMD) with hedonic house price models (HHPMs). It does this through three parallel global case studies (in the UK, New Zealand, and Vietnam). Evaluation of the spatial and temporal dynamics of perceived local neighbourhood as captured through SMD and identification of the emergence of housing bubbles and gentrification in these, will allow cross-cultural socio-economic and linguistic differences to be identified and explored. Of particular interest is in how generifying process manifest themselves in these different settings, how they are captured or not in social media posts, and what this implies for approaches employing text engineering and natural language processing to different social media and linguistic contexts.
- Professor Alexis Comber, University of Leeds
- Dr Bui Thanh, VNU University of Science
- Professor Nick Malleson, University of Leeds
- Dr Minh Le Kieu, University of Auckland
- Dr Hang Nguyen, Vietnam Japan University