Table 5 Comparison with existing models on IMB Dataset
From: Sentiment analysis from textual data using multiple channels deep learning models
Year | Model name | Accuracy on IMDB dataset (%) |
|---|---|---|
2021 | LSTM + CGAG [24] | 89.4 |
2019 | Hybrid CNN + LSTM model [25] | 91 |
2020 | LSTM [26] | 89.9 |
2020 | BiLSTM [27] | 91.96 |
2021 | TF-IDF + SVM-RFE [28] | 86.85 |
2021 | CSA + CNN + LSTM [29] | 89.88 |
2023 | BERT network [33] | 90.67 |
2022 | DNN [34] | 89 |
2023 | BERT + CNN [35] | 93 |
2022 | BiLSTM [36] | 88.12 |
Our (2023) | Proposed model | 94.13 |