Studies used tweet content for spam classification
| Research | FS method | Classifier | Accuracy | Recall | F-measure |
|---|---|---|---|---|---|
| Al-Azani et al. (2019) [23] | Skip-grams | SVM | 87.33% | 87.33% | 87.33% |
| Ashour et al. (2019) [24] | N-grams | RF | – | 78.4% | 78.36% |
| Afzal and Mehmood (2016) [25] | Information gain | NB | 95.42% | – | – |
| This study | K-means clustering | RF | 95.91% | 98.79% | 97.57% |
| Research | FS method | Classifier | Accuracy | Recall | |
|---|---|---|---|---|---|
| Al-Azani | Skip-grams | SVM | 87.33% | 87.33% | 87.33% |
| Ashour | RF | – | 78.4% | 78.36% | |
| Afzal and Mehmood (2016) [ | Information gain | NB | 95.42% | – | – |
| This study | RF | 95.91% | 98.79% | 97.57% |
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