Emnet-tes/fintech-app-analytics

Unlocking customer sentiment: NLP-driven analysis of reviews from Ethiopia's top banking apps—CBE, BOA, and Dashen—powered by SQLite. Gain actionable insights for better user experience. # Fintech App Analytics This project is focused on analyzing user reviews and extracting insights from fintech mobile applications, specifically targeting Ethiopian banks. The workflow includes scraping reviews, preprocessing text data, performing sentiment analysis, and conducting thematic analysis to uncover trends and user sentiments. ## Project Structure ``` fintech-app-analytics-week2/ ├── app/ ├── data/ │ ├── all_bank_reviews.csv │ ├── boa_reviews.csv │ ├── cbe_reviews.csv │ └── dashen_reviews.csv ├── log/ │ └── scraper.log ├── notebooks/ │ ├── scraping_and_preprocessing.ipynb │ └── sentiment_and_thematic.ipynb ├── scripts/ ├── src/ │ ├── Preprocessing/ │ │ ├── play_store_scraper.py │ │ └── preprocessor.py │ └── ThematicSentiment/ │ ├── sentiment_analysis.py │ └── thematic_analysis.py ├── tests/ ├── requirements.txt └── README.md ``` ## Main Components - **Data Collection**: Scrapes user reviews from the Google Play Store for various Ethiopian bank apps. - **Preprocessing**: Cleans and prepares the text data for analysis. - **Sentiment Analysis**: Classifies reviews as positive, negative, or neutral. - **Thematic Analysis**: Identifies common themes and topics in user feedback. ## How to Use 1. **Install Dependencies** ``` pip install -r requirements.txt ``` 2. **Run Notebooks** - Use the notebooks in the `notebooks/` directory to run scraping, preprocessing, sentiment, and thematic analysis steps interactively. 3. **Scripts and Modules** - Core logic for scraping and analysis is in the `src/` directory. - You can run or import these modules in your own scripts or notebooks. ## Data The `data/` directory contains CSV files with raw and processed reviews for each bank. ## Logging Logs from scraping and processing are stored in the `log/` directory. ## Testing Test files are located in the `tests/` directory. ## Requirements See `requirements.txt` for a list of required Python packages. ## License This …