Walter Reade .net

An assignment for my “Intro to Data Science” course was to estimate which state was “happiest” based on twitter sentiment analysis. Words such as “adore, admire, fun, love, reassure” score positive, words such as “despair, harmful, mediocrity, upset” score negative.

I analyzed 300,000 tweets and came up with the following result. (Note: Darker red means happier sentiment.) Hawaii was the clear winner, but UT-WY-CO-KS-OK form a very strong region of positive sentiment tweets.

In my analysis, LA and AL were the only two states that had a negative twitter sentiment, meaning, on average, there were more negative sentiment words than positive.