This work will determine which airlines tweeted about the most and the reason behind the negative tweets. Then we will see the most frequent words used in the tweets using the WordCloud technique. And finally, We will predict the sentiment of a tweet without any other information other than the tweet text itself, using various machine learning algorithms.