Table 6 F-measure 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 | 96.70 | 96.10 | 95.65 | 94.90 | 94.00 |
Bi-GRU | 95.27 | 94.48 | 94.09 | 93.73 | 93.52 |
Bi-LSTM | 93.61 | 93.34 | 92.77 | 92.28 | 91.89 |
RNN | 91.52 | 91.05 | 90.05 | 89.69 | 88.50 |
CNN | 87.30 | 85.92 | 84.68 | 83.35 | 81.10 |