Table 7 Recall of the proposed and existing classifiers with term weights
From: Twitter sentiment analysis using hybrid gated attention recurrent network
Classifiers | Term weighting-based feature extraction schemes | ||||
|---|---|---|---|---|---|
LTF-MICF % | TF-DFS % | TF-IDF % | TF % | W2V % | |
Proposed GARN | 96.76 | 96.23 | 95.77 | 95.09 | 94.34 |
Bi-GRU | 95.51 | 94.84 | 94.55 | 94.25 | 94.06 |
Bi-LSTM | 94.07 | 93.85 | 93.36 | 92.75 | 92.27 |
RNN | 92.25 | 91.83 | 90.65 | 90.36 | 89.04 |
CNN | 87.96 | 86.64 | 85.52 | 84.41 | 81.88 |