资源介绍
Context Nike just announced its partnership with Colin Kaepernick to be the face of the 30th anniversary of its **JustDoIt** campaign. They used the slogan "Believe in something, even if it means sacrificing everything." Kaepernick had made a controversial decision not to stand up during the national anthem, as a protest to police brutality, a while back. This has stirred a heated debate, and became a big national issue especially when [Donald Trump commented on it](https://www.youtube.com/watch?v=oY3hpZVZ7pk). Content This dataset contains 5,000 tweets that contain the hashtag #JustDoIt. All tweets happened on September 7, 2018, which is days after Nike made its announcement to endorse Kaepernick. # Some of the top entities of those tweets: #JustDoIt #Nike #ColinKaepernick #TakeaKnee ?? ?? ? ?? ? ?? ?? ?? ???? @Nike @Kaepernick7 @realDonaldTrump Acknowledgements Python, Twitter, twython, pandas, matplotlib do the heavy lifting in generating the data and exploring it. Inspiration I'm an online marketing person. Love words, love numbers. Can't help it! I think it's very interesting to see how these issues unfold, and how people respond to them. Maybe you can uncover some hidden insights or patterns. I'm also trying to show how you can [use the `extract_` functions from my `advertools` package](https://www.kaggle.com/eliasdabbas/extract-entities-from-social-media-posts).
