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 1 | # Another Twitter Sentiment Analysis with Python - Part 3
 2 | 
 3 | Attached Jupyter Notebook is the part 3 of the Twitter Sentiment Analysis project I implemented as a capstone project for General Assembly's Data Science Immersive course.
 4 | 
 5 | Accompanying blog posts can be found from my Medium account:
 6 | https://medium.com/@rickykim78
 7 | 
 8 | Below implementations can be found in the attached notebook.
 9 | 
10 | ## Zipf's Law<br>
11 | 
12 | ## Data Visualisation (based on custom-defined positivity metric)<br>
13 | prerequisite: [Bokeh](https://github.com/bokeh/bokeh)
14 | ```
15 | pip install bokeh
16 | ```
17 | 


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