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trend-analysis

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In this project I analyzed data from AirBnB listings in Singapore from 2018 to 2022 to see how room types, location, and pandemic-induced trends have shaped Airbnb listings in Singapore over the four years. I have also created visualizations to demonstrate and explain the insights that I have gathered from the analyses.

  • Updated Sep 25, 2023
  • Jupyter Notebook

Background and Objective: My objective is to leverage the Latent Dirichlet Allocation (LDA), an NLP Topic Modeling technique to analyze the textual data aggregated from a particualr high impact reviews platform, capterra.com to uncover key trends and insights from the product users' perspective.

  • Updated Feb 10, 2024
  • Jupyter Notebook

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