This is the US Airlines data taken from the year 2015. After getting the insight of the data, Total number of columns are 15 and there are a total of 6 Airlines. The tweets are divided into 9 dates starting from 16-02-2015 to 24-02-2015. Total tweets are 14,640 but the unique ones are 14, 427. We need to see the following research questions
What is the relationship between airline sentiments and airlines? What is the reason for the negativity mentioned in the dataset? What is the relation of time with sentiments? Which model is best for sentiment analysis when we do ensemble learning?