From: Deep-Eware: spatio-temporal social event detection using a hybrid learning model
Category/evaluation measure | Actual | Recall | Accuracy | Precision | F1 |
---|---|---|---|---|---|
COVID-19 /Health | 18 | 1.00 | 1.00 | 0.70 | 0.82 |
Politics | 146 | 0.78 | 0.99 | 0.97 | 0.86 |
Tourism | 41 | 0.53 | 0.99 | 0.98 | 0.69 |
Sports | 69 | 0.82 | 0.99 | 0.86 | 0.84 |
Economy | 44 | 0.88 | 1.00 | 0.98 | 0.92 |
Jobs | 25 | 0.68 | 1.00 | 1.00 | 0.81 |
Promotions | 10 | 0.26 | 0.99 | 1.00 | 0.41 |
Incidents | 123 | 0.95 | 1.00 | 0.99 | 0.97 |
Religion | 74 | 0.84 | 1.00 | 0.99 | 0.91 |
Celebrations | 17 | 0.76 | 1.00 | 0.94 | 0.84 |
Education | 29 | 0.87 | 1.00 | 0.90 | 0.88 |
Weather | 3 | 0.17 | 1.00 | 0.67 | 0.27 |
Others | 3801 | 1.00 | 0.98 | 0.95 | 0.98 |
# Bi-labels / Multilabels Tweets | 303 | ||||
Total Tweets | 4703 |