21Oli/ethiopian-digital-finance-review-analysis

This project collects and analyzes user reviews from the Google Play Store for major Ethiopian digital finance applications. The objective is to understand user satisfaction, identify common issues, compare application performance, and explore customer feedback through Exploratory Data Analysis (EDA) and Text Analytics. # Ethiopian Digital Finance Platforms Review Analysis ## Overview This project collects and analyzes user reviews from the Google Play Store for major Ethiopian digital finance applications. The objective is to understand user satisfaction, identify common issues, compare application performance, and explore customer feedback through Exploratory Data Analysis (EDA) and Text Analytics. The project demonstrates practical skills in web scraping, data preprocessing, exploratory data analysis, natural language processing, and data visualization using Python. --- ## Objectives * Scrape user reviews from multiple Ethiopian digital finance applications. * Clean and preprocess the collected review data. * Perform Exploratory Data Analysis (EDA). * Analyze user ratings and review trends. * Explore review text using text analytics techniques. * Compare customer feedback across different digital finance platforms. --- ## Applications Included * Telebirr * EBirr * CBEBirr * CBE Mobile Banking * BoA Mobile Banking * Apollo (BoA) * Awash Bank Mobile Banking * Nib Bank Mobile Banking * Dashen Bank Mobile Banking * Oromia Bank Mobile Banking * Coop Mobile Banking --- ## Dataset Features Each review contains the following information: | Feature | Description | | -------------- | --------------------------------- | | App_Name | Name of the financial application | | App_ID | Google Play package name | | Reviewer_Name | Reviewer username | | User_ID | Unique review identifier | | Review_Content | User review text | | Review_Count | Number of helpful votes received | | Rating | Star rating (1–5) | | Date | Date the review was posted | --- ## Project Workflow ### 1. Data Collection * Scraped user reviews from Google Play Store * Combined reviews from 11 Ethiopian financial applications * Stored all reviews in a single dataset # …