From: Utilizing deep learning and graph mining to identify drug use on Twitter data
Rule | Support | Confidence | Lift | Count |
---|---|---|---|---|
Opioid, pipe \(\rightarrow\) methamphetamine | 0.0005367749 | 0.9944862 | 14.230069 | 1984 |
Cocaine, smoke \(\rightarrow\) drug_positive | 0.0041372791 | 0.8685182 | 4.040260 | 15292 |
Methamphetamine, pipe \(\rightarrow\) opioid | 0.0005367749 | 0.8562797 | 58.175785 | 1984 |
Methamphetamine, opioid \(\rightarrow\) pipe | 0.0005367749 | 0.7342709 | 25.161546 | 1984 |
Marijuana, smoke \(\rightarrow\) drug_positive | 0.0089966611 | 0.6865773 | 3.193889 | 33253 |