Text classification is one of the most commonly used text mining tasks. In this discussion, download the following dataset (Twitter US Airline Sentiment). Then create a Jupyter notebook file, and you do the following:

Describe the data

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

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

Be sure to include a clear explanation before each step you do in a markdown cell in the file

Comment your source code and describe your code to someone who may be viewing it for the first time