Text classification is one of the most commonly used text mining tasks. In this discussion, download the following dataset (Twitter US Airline Sentiment).

https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment

Write Python code to load and clean the data from any unnecessary parts (you should decide what data pre-processing steps to apply).

Write Python code to derive and estimate the sentiment associated with individual tweets. ( build calissification model based on target airline_sentiment)

Store the output as a dataframe that contains the following columns: the tweet and the associated sentiment. Be sure to display the head of this dataframe.