Another Twitter Sentiment Analysis with Python - Part 2

Attached Jupyter Notebook is the part 2 of the Twitter Sentiment Analysis project I implemented as a capstone project for General Assembly's Data Science Immersive course.

Accompanying blog posts can be found from my Medium account: https://medium.com/@rickykim78

Below implementations can be found in the attached notebook.

Data Cleaning (redefined)

In addition to the data cleaning defined in part 1, below has been added

• negation handling
• URL linked handling amended
• Twitter ID handling amended

Word Cloud

prerequisite: wordcloud

pip install wordcloud

Term Frequency Count