TripAdvisor Reviews Clustering Analysis using Pycaret

This project aims to analyze and cluster TripAdvisor reviews using various clustering techniques and data processing methods. The clustering techniques include K-Means, Hierarchical Clustering, and K-Means Shift Clustering, while the data processing methods include Normalization, Transformation, and Principal Component Analysis (PCA). The analysis was performed using the PyCaret library.

Methods

The following clustering techniques were used:

1. K-Means Clustering
2. Hierarchical Clustering
3. K-Means Shift Clustering

Each clustering technique was evaluated using the following data processing methods:

1. No Data Processing
2. Normalization
3. Transformation
4. PCA (Principal Component Analysis)
5. Combination of Transformation and Normalization (T+N)
6. Combination of Transformation, Normalization, and PCA (T+N+PCA)