Introduction In this post, I will scrape the 2018 State of the State Addresses (SoSAs), convert the speeches into a dataframe of words counts with the rows representing the speeches and the columns representing the words. This type of dataframe is known as document term matrix (dtm). I will also perform some exploratory analysis of the constructed dataset.
Every year, at the beginning of the year, most U.S governors present their visions for their states in their SoSAs.