| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| cnn and lstm model | 1.07 | 0.7 | 3051 | 16 | 18 |
| cnn | 0.55 | 1 | 2417 | 40 | 3 |
| and | 1.58 | 0.7 | 9947 | 67 | 3 |
| lstm | 0.92 | 0.9 | 3198 | 99 | 4 |
| model | 0.22 | 0.6 | 4549 | 93 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| cnn and lstm model | 0.19 | 0.4 | 3074 | 89 |
| cnn lstm hybrid model | 0.87 | 0.1 | 2308 | 48 |
| cnn + lstm model | 0.19 | 0.9 | 7830 | 94 |
| lstm cnn model | 0.71 | 1 | 2547 | 83 |
| cnn lstm hybrid model github | 0.59 | 0.3 | 6847 | 47 |
| cnn lstm model github | 1.33 | 0.6 | 3007 | 33 |
| cnn lstm model code | 0.41 | 0.5 | 12 | 96 |
| cnn lstm model keras | 1.49 | 0.6 | 431 | 92 |
| cnn lstm hybrid model architecture | 0.4 | 0.1 | 8180 | 45 |
| lstm-cnn hybrid model for text classification | 0.2 | 0.6 | 5452 | 77 |
| lstm + cnn | 0.92 | 0.1 | 906 | 45 |
| cnn-lstm hybrid dust | 1.34 | 0.2 | 2701 | 54 |
| cnn bi-lstm | 1.35 | 0.4 | 5490 | 10 |
| cnn1d+lstm | 1.71 | 0.8 | 5821 | 57 |
| cnn-lstm network | 0.04 | 0.7 | 7122 | 68 |
