Google Place Reviews Analytics

Nov 1, 2024
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Google Place Analytics

Project Overview

The Google Place Reviews Analytics initiative is a segment of the Urban Analytics Lab’s (UAL) research. This project aims to analyze user-generated reviews from Google Places to derive insights into urban living conditions, public sentiment, and potential areas for enhancement.

Objectives

  • Sentiment Analysis: Assess the overall sentiment of reviews to understand public opinion about various locations.
  • Theme Extraction: Detect recurring themes and topics within the reviews to identify common concerns and highlights.
  • Actionable Insights: Offer recommendations for city planners based on the analysis to enhance urban environments.

Methodology

  1. Data Collection: Collect reviews from Google Places using APIs.
  2. Data Preprocessing: Clean and preprocess the text data for analysis.
  3. NLP Techniques: Utilize NLP techniques such as sentiment analysis and topic modeling.
  4. Data aggregation: Aggregate the data to identify trends and patterns across different cities.

For more information, visit our website.

Urban Analytics Natural Language Processing Sentiment Analysis City Planning
Mahmoud AbdelRahman
Mahmoud AbdelRahman
PhD (Built Environment) · Digital Twins, Urban Analytics & AI for the Built Environment

My research interests include data science in the built environment, human-building interaction, digital twins, and graph neural networks.