Interactive sentiment analysis dashboard for hospitality review data
Built an interactive PHP dashboard that analyzes and visualizes guest sentiment data from hospitality reviews. The application processes review data from Airbnb and TripAdvisor, providing comparative sentiment analysis, word frequency insights, and geographic performance metrics.
This dashboard demonstrates data visualization techniques and interactive filtering capabilities for business intelligence applications in the hospitality industry.
Python sentiment analysis with PHP dashboard interface
Review data from Airbnb and TripAdvisor platforms
Chart.js and WordCloud.js for interactive graphics
Bootstrap responsive design with JavaScript filtering
Side-by-side analysis of sentiment distribution across accommodation types
Visual word clouds highlighting key themes and concerns in guest feedback
Dynamic review filtering by source and sentiment with live result updates
City-level sentiment performance comparison and ranking metrics
Interactive charts comparing positive, neutral, and negative sentiment distribution between Airbnb and hotel reviews with summary statistics.
Word frequency extraction and visualization revealing key themes and concerns mentioned in guest reviews across different accommodation types.
Interactive review browser with filtering capabilities and geographic performance insights for identifying trends and patterns.
Python data processing pipeline with PHP web interface integration
Chart.js implementation with word cloud generation and responsive design
JavaScript filtering functionality with dynamic content updates
Intuitive dashboard interface with progressive disclosure and clear navigation
Sentiment analysis presentation with actionable geographic and thematic insights