This tweet containing a hypothesis about Donald Trump's Twitter account needs to be investigated with data:
Every non-hyperbolic tweet is from iPhone (his staff).— Todd Vaziri (@tvaziri) August 6, 2016
Every hyperbolic tweet is from Android (from him). pic.twitter.com/GWr6D8h5ed
Others have explored Trump’s timeline and noticed this tends to hold up. And Trump himself did indeed tweet from a Samsung Galaxy until March 2017. But how could it be examined quantitatively? In this project, you will apply text mining and sentiment analysis to determine whether or not Trump does indeed write the angrier, Android tweets.
This project lets you apply the skills from Introduction to the Tidyverse, Intermediate Data Visualization with ggplot2, String Manipulation in R with stringr, and Sentiment Analysis in R. We recommend that you take those course before starting this project.
The dataset used in this project is from The Trump Twitter Archive by Brendan Brown, which contains all 35,000+ tweets from the @realDonaldTrump Twitter account from 2009 (the year Trump sent his first tweet) through 2018.
Chief Data Scientist, DataCamp
Dave uses data science in the fight against cancer on the Data Insights Engineering team at Flatiron Health. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton University. Follow him at @drob on Twitter or on his blog, Variance Explained.See More