TY - JOUR
T1 - Detecting urban identity perception via newspaper topic modeling
AU - de Oliveira Capela, Fernanda
AU - Ramirez-Marquez, Jose Emmanuel
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/10
Y1 - 2019/10
N2 - Understanding subjective aspects of urban life can be a powerful tool for policymakers to improve public well-being by focusing on the peculiarities their metropolis. Cities are as diverse as the humans living in it. Just as any other complex system, a city changes and evolves with time, accumulating experiences and features that are particular to their history. Unmatched memories are what makes people feel connected to a place. This uniqueness of characteristics is what we call the city identity. This paper proposes a method to detect and compare identities of cities using news articles. Revealing the most unique topics for each city can uncover their utmost interests and points of view. We exemplified its use with a set of thirty-six big cities from the United States of America creating a footprint of components containing the city's identity profiles. This method allows the comparison of cities at scale without compromising the quality of the results.
AB - Understanding subjective aspects of urban life can be a powerful tool for policymakers to improve public well-being by focusing on the peculiarities their metropolis. Cities are as diverse as the humans living in it. Just as any other complex system, a city changes and evolves with time, accumulating experiences and features that are particular to their history. Unmatched memories are what makes people feel connected to a place. This uniqueness of characteristics is what we call the city identity. This paper proposes a method to detect and compare identities of cities using news articles. Revealing the most unique topics for each city can uncover their utmost interests and points of view. We exemplified its use with a set of thirty-six big cities from the United States of America creating a footprint of components containing the city's identity profiles. This method allows the comparison of cities at scale without compromising the quality of the results.
KW - City identity
KW - LDA modeling
KW - Text analytics
KW - Topic detection
KW - Urban perception
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U2 - 10.1016/j.cities.2019.04.009
DO - 10.1016/j.cities.2019.04.009
M3 - Article
AN - SCOPUS:85065078736
SN - 0264-2751
VL - 93
SP - 72
EP - 83
JO - Cities
JF - Cities
ER -