AeroReview Explorer is a sentiment analysis project that focuses on analyzing passenger reviews of British Airways flights. The project aims to provide insights into the sentiment trends and opinions expressed by passengers about their flight experiences.
The Sentiment Distribution feature allows you to visualize the distribution of sentiments in passenger reviews. It provides an overview of the percentage of positive, negative, and neutral sentiments expressed by passengers.
The data was scrapped from https://www.airlinequality.com/airline-reviews/british-airways and the sentiments were exrtracted using Google's PaLM api
Word Clouds are generated to highlight commonly mentioned terms in each sentiment category. These visualizations provide a quick glance at the most frequent words used by passengers when expressing their opinions.
The Topic Modeling feature extracts common topics from passenger reviews and combines them with sentiment analysis. It helps uncover recurring themes and subjects that passengers frequently discuss in their reviews.
With Real-time Sentiment Analysis, you can instantly analyze new reviews and receive real-time sentiment scores. This feature keeps you updated on the latest sentiments expressed by passengers.
This feature allows you to analyze sentiment based on different flight aspects, such as cabin service, in-flight entertainment, or food quality. It helps identify which aspects are most commonly associated with positive or negative sentiments.
Predictive Insights use historical data to forecast sentiment trends. By analyzing past sentiment patterns, this feature can provide insights into future sentiment trends, allowing for proactive decision-making.