Topic Modeling on Five Text Datasets (News-20K, IMDB, Yelp, DailyMail, Twitter)
54.31Intruder Detection Accuracy (CI)SAE-TM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SAE-TMNum. Topics=502025.11 | 54.31 | 77.25 | 3.67 | |
| SAE-TMNum. Topics=1002025.11 | 51.48 | 78.01 | 3.64 | |
| SAE-TMNum. Topics=2002025.11 | 46.63 | 75.71 | 3.6 | |
| TSCTMNum. Topics=502025.11 | 44.61 | 69.75 | 3.87 | |
| SAE-TMNum. Topics=3002025.11 | 43.5 | 74.22 | 3.59 | |
| CombinedTMNum. Topics=502025.11 | 40.9 | 70.24 | 3.24 | |
| SAE-TMNum. Topics=5002025.11 | 40.49 | 71.22 | 3.57 | |
| DecTMNum. Topics=502025.11 | 38.85 | 66.49 | 3.26 | |
| AVITMNum. Topics=502025.11 | 38.72 | 69.05 | 3.36 | |
| CombinedTMNum. Topics=1002025.11 | 38.49 | 67.37 | 3.22 | |
| CombinedTMNum. Topics=2002025.11 | 37.56 | 63.55 | 3.45 | |
| TSCTMNum. Topics=1002025.11 | 35.81 | 58.53 | 3.79 | |
| AVITMNum. Topics=1002025.11 | 35.74 | 69.02 | 3.36 | |
| DecTMNum. Topics=1002025.11 | 35.43 | 66 | 3.21 | |
| AVITMNum. Topics=2002025.11 | 34.59 | 68.17 | 3.27 | |
| AVITMNum. Topics=3002025.11 | 33.38 | 65.67 | 3.27 | |
| FASTopicNum. Topics=502025.11 | 32.31 | 56.06 | 2.92 | |
| CombinedTMNum. Topics=5002025.11 | 31.79 | 50.77 | 3.24 | |
| AVITMNum. Topics=5002025.11 | 31.08 | 59.61 | 3.13 | |
| FASTopicNum. Topics=1002025.11 | 30.33 | 56.9 | 2.96 | |
| TSCTMNum. Topics=2002025.11 | 29.51 | 40 | 3.76 | |
| FASTopicNum. Topics=2002025.11 | 29.46 | 51.83 | 2.89 | |
| DecTMNum. Topics=2002025.11 | 28.93 | 53.14 | 3.15 | |
| FASTopicNum. Topics=3002025.11 | 28.24 | 52.34 | 2.97 | |
| FASTopicNum. Topics=5002025.11 | 28.06 | 51.25 | 2.97 | |
| CombinedTMNum. Topics=3002025.11 | 27.78 | 42.72 | 3.21 | |
| TSCTMNum. Topics=3002025.11 | 26.17 | 27.4 | 3.7 | |
| DecTMNum. Topics=3002025.11 | 25.22 | 42.18 | 3.11 | |
| NSTMNum. Topics=5002025.11 | 23.43 | 48.58 | 2.76 | |
| NSTMNum. Topics=1002025.11 | 22.88 | 38.95 | 3.04 | |
| NSTMNum. Topics=2002025.11 | 22.61 | 41.69 | 2.99 | |
| NSTMNum. Topics=3002025.11 | 22.59 | 42.49 | 2.95 | |
| NSTMNum. Topics=502025.11 | 21.73 | 39.62 | 3.07 | |
| ETMNum. Topics=502025.11 | 21.68 | 28.36 | 3.08 | |
| TSCTMNum. Topics=5002025.11 | 21.68 | 17.67 | 3.7 | |
| DVAENum. Topics=502025.11 | 21.24 | 22.45 | 3 | |
| DecTMNum. Topics=5002025.11 | 20.37 | 40.34 | 2.98 | |
| ETMNum. Topics=1002025.11 | 20.26 | 23.28 | 3.18 | |
| ETMNum. Topics=2002025.11 | 20.02 | 19.05 | 3.25 | |
| ETMNum. Topics=3002025.11 | 19.77 | 17.91 | 3.29 | |
| ETMNum. Topics=5002025.11 | 19.23 | 15.62 | 3.34 | |
| DVAENum. Topics=1002025.11 | 17.36 | 11.16 | 3.36 | |
| DVAENum. Topics=2002025.11 | 16.87 | 2.29 | 3.21 | |
| DVAENum. Topics=3002025.11 | 16.64 | 4.69 | 3.2 | |
| DVAENum. Topics=5002025.11 | 16.5 | 2.87 | 3.17 |