The sentiment analysis and exploratory data analysis of a trending list on youtube. The resource used by me for reference is: https://github.com/ammar1y/YouTube-Trending-Videos-Analysis-2019/blob/master/YT-trending-analysis-2019-US.ipynb
The dataset used in the project are: https://www.kaggle.com/datasnaek/youtube-new
The project uses python modules: plotly seaborn matplotlib sklearn pandas numpy
It also shows a comparative analysis between Kmeans and HAC using the metrics Silhouette Coefficient and Calinski and Harabasz score.
There might be an error in loading the plotly images. The html file is added as a backup if the .ipynb file is not working. But it is a huge file of 4.2MB and hence github maynot allow it to be shown. But feel free to clone the repository!