Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

LidetuTadesse/Mobile-Banking-App-Review-Sentiment-Analysis-Ethiopia

Domain:

natural language processing

Record type:

project
Creator:
Lid
Host:
This project analyzing 1,200+ user reviews of mobile banking apps in Ethiopia (CBE(Commercial Bank Of Ethiopia), BOA(Bank Of Abyssinia), Dashen Bank). It involves web scraping, data cleaning, EDA, sentiment analysis, and visualizing insights to improve UX and service delivery. Mobile Banking App Review Sentiment Analysis of Ethiopin Banks This project focus on analyzing customer satisfaction with mobile banking applications in Ethiopia. The project collects and analyze over 1,500 real user reviews from the Google Play Store for the mobile apps of: 1. Commercial Bank of Ethiopia (CBE) 2. Bank of Abyssinia (BOA) 3. Dashen Bank The project includes: Web scraping using the google-play-scraper package. Data preprocessing (deduplication, date normalization, and cleaning). Exploratory Data Analysis (EDA) and Sentiment Analysis using NLP techniques. Visualization of key insights and customer pain points. Clean, version-controlled code with meaningful Git commits. This end-to-end project provides valuable insights into customer satisfaction to help improve mobile banking UX and service delivery.

Visit

github.com

Tasks

sentiment analysistext classification