Research Article
[Retracted] Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
Table 2
Performance Measures (in percentage) for spam detection after applying TF-IDF vectorizer.
| Performance measures | Multinomial NB | Bernoulli NB | SVM | Decision tree classifier | Random forest classifier | Logistic regression |
| Classification accuracy | 98.21 | 96.77 | 96.59 | 95.75 | 97.19 | 94.92 | Precision | 96.89 | 96.38 | 97.13 | 90.94 | 98.42 | 96.61 | Recall | 95.52 | 89.81 | 88.44 | 91.39 | 89.87 | 82.04 | F1-score | 96.19 | 92.74 | 92.16 | 91.16 | 93.56 | 87.47 | Negative recall | 99.24 | 99.44 | 99.72 | 97.43 | 100 | 99.86 |
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