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I loaded 80,019 tweets, kept the 54,267 with no missing fields, cleaned them, drew a word cloud and summed VADER scores.
Original tutorial by Aman Kharwal: Squid Game Sentiment Analysis (opens in a new tab)
| Output | Value | Cell # |
|---|---|---|
| Summed VADER positive | 6,784 | |
| Summed VADER negative | 3,679 | |
| Summed VADER neutral | 43,800 | |
| Overall verdict | Neutral | |
| Tweets kept after dropping missing values | 54,267 |
Cell # counts every cell from the top of the notebook, Markdown included, starting at 1.
A Kaggle tweet collection bundled as squid_game.csv in the repository.
Tweets with user names and profiles. No tweet text or user detail is shown here.