The project is prepared by Daria Ivanushenko and Jabir Kangarli for the Text Mining and Social Media Mining subject at the University of Warsaw. The dataset contains 20.000 reviews from Tripadvisor. We implement sentimental analysis and topic modeling methods to see if our dataset provides any useful insight for us. Please upload the data and two images to your working directory before running the Rmd file. Link to the data and images: https://drive.google.com/drive/u/1/folders/1dxFTCzhz3Qckfz9HH_AdW5FZyYk8eKOJ

My first project prepared as part of the subject Unsupervised Learning on my Master Studies. The goals of assessment: learning about distance-based clustering methods, as well as k-means methods, Hierarchical and CLARA (Clustering Large Applications) algorithms. learning the methods of determining the optimal number of clusters, acquiring knowledge in the field of unsupervised learning, learning about the tools used for unsupervised learning, practical data analysis using the unsupervised learning approach.

This paper is prepared for my studies at the University of Warsaw at Unsupervised Machine Learning project

This paper is written for Unsupervised Machine Learning class at my Master’s of Data Science studies at the University of Warsaw