State of the Union Addresses (SOUA) by two recent US Presidents, President Obama (2016) and President Trump (2018), and a series of recent of tweets by President Trump, are analysed by means of the data mining technique, sentiment analysis. The intention is to explore the contents and sentiments of the messages contained, the degree to which they dier, and their potential implications for the national mood and state of the economy. President Trump's 2018 SOUA and his sample tweets are identied as being more positive in sentiment than President Obama's 2016 SOUA. This is conrmed by bootstrapped t tests and non-parametric sign tests on components of the respective sentiment scores. The issue of whether overly positive pronouncements amount to self-promotion, rather than intrinsic merit or sentiment, is a topic for future research.

Additional Metadata
Keywords Sentiment Analysis, Polarity, Bootstrapped t tests, Sign tests
JEL General Economics (jel A1), Other Computer Software (jel C88), Statistical Decision Theory; Operations Research (jel C44), Other Special Topics: General (jel Z0)
Persistent URL hdl.handle.net/1765/105873
Series Econometric Institute Research Papers
Citation
Allen, D.E, McAleer, M.J, & McHardy Reid, D. (2018). Fake News and Indifference to Truth (No. EI2018-10). Econometric Institute Research Papers. Retrieved from http://hdl.handle.net/1765/105873