This is a self-created basic tutorial for the Machine Learning II course at the Language Analysis and Processing master's degree where I show how I retrieve tweets from Twitter App and visualize, cluster and classify data by means of ML techniques and algorithms.

Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.

Testing the mechanisms to process Japanese using a Japanese tweet dataset I found on Kaggle