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.
In addition to the data cleaning defined in part 1, below has been added
- negation handling
- URL linked handling amended
- Twitter ID handling amended
prerequisite: wordcloud
pip install wordcloud