Explore your Twitter Activity with R: Sentiment Analysis and Data Visualization
How to analyze your Twitter account (or any account), discover your habits and sentiments with the “rtweet” package and NLP
It was in 2006, just two years after Facebook was founded, that one of the most popular social network and microblogging platforms became known to the world: Twitter. You will hardly find a person who does not identify the logo of the little bird, which is here to stay.
His formula for success and why is it so almost hypnotic to invest your time on the platform? I believe that it is largely due to the immediacy and simplicity of the information, as well as the possibility of offering its users the dream of being just a tweet away from practically anyone.
Over time, the adoption and popularity of Twitter grew exponentially, and today it is still one of the most widely used and influential social networks around the world. We have already witnessed the enormous power that sometimes even less than 140 characters can have over the world. Elon Musk expressing his support for a cryptocurrency in a tweet can make its value rise to the moon.
