A Framework for Analyzing Online Customer Ratings

We present our preliminary results on building a framework for analyzing online ratings. There are four major components constructed in this framework including data retrieval, data processing, data analytics, and data visualization. The data retrieval module is responsible for scraping or streaming online rating data. Cleaning, filtering, and parsing unstructured data are done in the data processing module. Once the data is ready for computation, the data analytics module computes the desired analytics, and finally the data visualization module displays the meaningful findings to the users. A testbed using popular online rating data is implemented and its results and findings are discussed in this paper.