#Donald trump negative words android
What’s more, we can see that the Android tweets are angrier and more negative, while the iPhone tweets tend to be benign announcements and pictures. My analysis, shown below, concludes that the Android and iPhone tweets are clearly from different people, posting during different times of day and using hashtags, links, and retweets in distinct ways. But how could we examine it quantitatively? I’ve been writing about text mining and sentiment analysis recently, particularly during my development of the tidytext R package with Julia Silge, and this is a great opportunity to apply it again. Others have explored Trump’s timeline and noticed this tends to hold up- and Trump himself does indeed tweet from a Samsung Galaxy.
Is this an artifact showing which tweets are Trump’s own and which are by some handler? When he’s insulting a rival, he’s usually tweeting from an Android. When Trump wishes the Olympic team good luck, he’s tweeting from his iPhone. But this weekend I saw a hypothesis about Donald Trump’s twitter account that simply begged to be investigated with data:Įvery non-hyperbolic tweet is from iPhone (his staff).Įvery hyperbolic tweet is from Android (from him). I don’t normally post about politics (I’m not particularly savvy about polling, which is where data science has had the largest impact on politics).
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