From: Analysis and classification of privacy-sensitive content in social media posts
Dataset | Classifier | F1-score | Gain |
---|---|---|---|
SENS2 | BoW-LR | 0.68 | – |
BoW-RF | 0.67 | – | |
BoW-SVM | 0.68 | – | |
CNN1 | 0.73 | 7.35% | |
CNN2 | 0.73 | 7.35% | |
CNN3 | 0.72 | 5.88% | |
CNN4 | 0.71 | 4.41% | |
RNN1 | 0.77 | 13.24% | |
RNN2 | 0.77 | 13.24% | |
BERT | 0.78 | 14.71% | |
SENS3 | BoW-LR | 0.73 | – |
BoW-RF | 0.73 | – | |
BoW-SVM | 0.78 | – | |
CNN1 | 0.81 | 3.85% | |
CNN2 | 0.81 | 3.85% | |
CNN3 | 0.60 | −11.76% | |
CNN4 | 0.81 | 3.85% | |
RNN3 | 0.87 | 11.54% | |
RNN4 | 0.86 | 10.26% | |
BERT | 0.89 | 14.10% | |
OMC | BoW-LR | 0.60 | – |
BoW-RF | 0.59 | – | |
BoW-SVM | 0.60 | – | |
CNN1 | 0.63 | 5.28% | |
CNN2 | 0.64 | 5.95% | |
CNN3 | 0.65 | 8.29% | |
CNN4 | 0.65 | 8.07% | |
RNN1 | 0.65 | 11.67% | |
RNN2 | 0.65 | 11.67% | |
RNN3 | 0.66 | 13.33% | |
 | RNN4 | 0.67 | 14.39% |
 | BERT | 0.68 | 13.32% |
WH+TW | BoW-LR | 0.80 ± 0.01 | – |
BoW-RF | 0.78 ± 0.01 | – | |
BoW-SVM | 0.81 ± 0.01 | – | |
CNN1 | 0.77 ± 0.03 | −3.62 ± 3.89 | |
CNN2 | 0.78 ± 0.03 | −4.51 ± 4.41 | |
CNN3 | 0.75 ± 0.07 | −7.32 ± 8.31 | |
CNN4 | 0.68 ± 0.15 | −15.15 ± 18.92 | |
RNN1 | 0.83 ± 0.02 | 2.59 ± 1.78% | |
RNN2 | 0.83 ± 0.01 | 3.08 ± 1.48% | |
RNN3 | 0.83 ± 0.01 | 3.28 ± 2.00% | |
 | RNN4 | 0.84 ± 0.02 | 3.85 ± 1.85% |
 | BERT | 0.88 ± 0.01 | 8.80 ± 1.55% |