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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

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redefining data-cleaning, preparation for visualisation

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