This project explores the ways in which neighborhood identities are expressed by Airbnb hosts and guests. These two user groups exist on the same platform, yet speak about the neighborhoods they host and stay in quite differently. To examine the nuances between both users' language, the project visualizes Airbnb text data mined from guest reviews and host listings in New York City. Interactive mapping of the words most frequently used across both groups paints a picture of neighborhood perceptions, and word associations based on categories further explore the nuances of language used.

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