Table 2.
The short-text datasets and their respective percentages of positive-negative instances
| S # | Dataset | # of instances | Positive % | Negative |
|---|---|---|---|---|
| 1 | Sentiment140 (S) | 1.6 million | 50 | 50 |
| 2 | Jigsaw toxic comments (J) | 312,735 | 7 | 65 |
| 3 | Landslide (L) | 282,152 | 83 | 17 |
| 4 | DrugsCom (D) | 215,063 | 75 | 25 |
| 5 | Amazon baby reviews (A) | 183,531 | 76 | 14 |
| 6 | IMDB movie reviews (I) | 50,000 | 50 | 50 |
| 7 | Google playstore reviews (G) | 64,295 | 74 | 26 |
| 8 | Coronavirus_archive (C) | 46,162 | 41 | 59 |
| 9 | Reddit data (R) | 37,249 | 43 | 35 |
| 10 | Women clothing ecommerce (W) | 23,486 | 82 | 18 |