Medium is a treasure trove if you want to practice NLP or get data to train your models for other purposes. Luckily, it’s possible to fetch JSON data for any medium post together with its metadata about author, claps, tags, etc. Recently I wanted to try out the Google Natural Language API for sentiment analysis and run it on responses to Medium articles. Responses are what would be called comments elsewhere, but you’ll see that…
You already know that if you have a data set with many columns, a good way to quickly check correlations among columns is by visualizing the correlation matrix as a heatmap. But is a simple heatmap the best way to do it?