This project focuses on analyzing customer reviews and predicting customer bookings using data obtained from Skytrax and Forage Programme Link. The repository includes three CSV files and various presentation and notebook files for a comprehensive analysis.
- BA_reviews.csv: Contains 1000 reviews scraped from Skytrax for British Airways.
- Clean_reviews.csv: Includes cleaned reviews after preprocessing.
- customer_booking.csv: Customer booking data obtained from Forage.
- BA Customer Review Analysis.pptx: Presentation on sentiment analysis of customer reviews.
- Predictive Modelling of Customer Bookings.pptx: Presentation on the predictive model of customer bookings.
- booking_prediction_model.ipynb: Jupyter notebook containing the code for the customer booking prediction model.
- customer_review_analysis.ipynb: Jupyter notebook for the analysis of customer reviews.
- Perform sentiment analysis on customer reviews to understand sentiments and trends.
- Build a predictive model for customer bookings using the provided booking data.
- Provide insights and recommendations based on the analysis.
- Refer to
customer_review_analysis.ipynbfor a detailed analysis of customer reviews. - Utilize
BA_reviews.csvandClean_reviews.csvfor the raw and cleaned review data.
- Explore
booking_prediction_model.ipynbfor the implementation of the predictive model. - The model is trained on
customer_booking.csvto predict customer bookings.
- View
BA Customer Review Analysis.pptxfor insights from the sentiment analysis. - Check
Predictive Modelling of Customer Bookings.pptxfor an overview of the predictive model.
- Contributions are welcome! Feel free to raise issues, submit pull requests, or provide feedback.
- Acknowledgments and credits to Skytrax and Forage for providing the customer review and booking data.
- For any inquiries or information, please contact [deepakbisht.1361@gmail.com].