In this study, we have examined the relation between emotional intelligence and happiness. We have identified the traits of high emotionally intelligent people and low emotionally intelligent people and the corresponding words used on twitter to portray those traits. We have scraped twitter and extracted 1000 tweets for each word at three instances of time namely March 2018, 2013 and 2010. Two classifiers namely Support Vector Machine and Naïve Bayes were trained with large data sets to perform sentiment analysis. Each of them classifies a sentence either as positive(happy) or negative(sad). The different sets of scraped tweets corresponding to each word have been used as test data to the above models. Thus, a correlation between emotional intelligence and happiness over time was established. The underlying assumption of the above study is that the individual is expressing his/her true emotion on twitter.