This project explores sentiment analysis and word embeddings using Ryanair reviews dataset.
The project objectives include sentiment analysis, word embeddings with Vader model, and correlation analysis.
Methodology involves data preprocessing, sentiment analysis, word embeddings, analyzing proportion of sentiments, and correlation analysis.
Key findings include majority of negative reviews, identified patterns in sentiment expressions, and correlations between sentiment polarity and ratings.