carblacac/twitter-sentiment-analysis
The Twitter Sentiment Analysis Dataset contains 1,578,627 classified tweets, each row is marked as 1 for positive sentiment and 0 for negative sentiment. The dataset is based on data from the following two sources: University of Michigan Sentiment Analysis competition on Kaggle Twitter Sentiment Corpus by Niek Sanders Finally, I randomly selected a subset of them, applied a cleaning process, and divided them between the test and train subsets, keeping a balance between the number of positive and negative tweets within each of these subsets.
| Author / organization | carblacac |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 25 |
| Created | 5 June 2022 |
| Last updated at source | 25 October 2022 |
Popularity, last 2 days
214 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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