Table 10.
Average precision [experimented with increased number of tweets] using coronavirus tweets NLP text classification dataset
Number of tweets | Precision (%) | ||
---|---|---|---|
DR-GNOG | GANCF | Bootstrapping | |
4000 | 0.93 | 0.91 | 0.88 |
8000 | 0.91 | 0.89 | 0.87 |
12,000 | 0.9 | 0.87 | 0.85 |
16,000 | 0.89 | 0.86 | 0.84 |
20,000 | 0.89 | 0.86 | 0.84 |
24,000 | 0.88 | 0.85 | 0.82 |
28,000 | 0.86 | 0.84 | 0.82 |
32,000 | 0.85 | 0.83 | 0.81 |
36,000 | 0.84 | 0.82 | 0.8 |
40,000 | 0.84 | 0.82 | 0.79 |