Science University Research Symposium (SURS)

Sensory Space: Navigating Data Accessibility for Disabled Individuals through Yelp Web Scraping

Publication Date

Fall 11-2024

College

Sciences and Mathematics, College of

Department

Math and Computer Science, Department of

SURS Faculty Advisor

Christina Davis

Presentation Type

Poster Presentation

Abstract

In an increasingly digital world, access to location information is crucial, particularly for individuals with disabilities. This project aims to enhance data accessibility for disabled individuals by leveraging web scraping techniques on Yelp, a popular platform for business reviews and information. Utilizing Beautiful Soup 4 and Selenium, web scraping tools, and Python 3, last semester’s objective was to set up the basis for extracting relevant data from Yelp's website, with the aim of providing information tailored to disabled individuals and their specific needs. Despite initial challenges with scraping large volumes of reviews, valuable insights were gained, which enables researchers to scrape all reviews from any business on Yelp. This achievement lays the groundwork for future improvement in data accessibility for disabled individuals. This semester, the project focus is on refining and automating scraping methodologies, information storage/retrieval, and the incorporation of artificial intelligence to optimize review analysis. By persisting in this endeavor, this project will contribute to the broader goal of fostering inclusivity and equal access to information in the digital landscape.

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