We have a few tweets gathered the morning after the last Republican debate. Determine the count of positive and negative tweets that contain the keyword “Trump”.

Hint: To get the solution we used the Natural Language Toolkit

Jupyter

Get started with challenge in Data Scientist Workbench using this Jupyter notebook:

https://share.datascientistworkbench.com/#/api/v1/workbench/10.114.214.147/shares/Zdc0xlFQbSbvKQm/Challenge_2.ipynb

Copy the url above and import it in your workbench by pasting it in the appropriate box.

Solution

Official solution for the Day 2 Challenge:

https://share.datascientistworkbench.com/#/api/v1/workbench/10.114.214.147/shares/S24DfpW9Z8zXzZC/SOLUTION_Challenge_2.ipynb

Winning Entry

Here is the winning entry:

https://share.datascientistworkbench.com/#/api/v1/workbench/10.114.214.147/shares/6hPnK3p8zY6zlMs/alexsher.ipynb