Sentiment Analysis of Korean Modern Novel Texts Applying Deep Learning Models
Mar 26, 2025
About this article
Published Online: Mar 26, 2025
Received: Nov 03, 2024
Accepted: Feb 21, 2025
DOI: https://doi.org/10.2478/amns-2025-0812
Keywords
© 2025 Yidan Piao, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Results of the experiment on SST-2
| Model serial number | Model | Accuracy rate (P) | Recall rate (R) | F1 value (F1-score) |
|---|---|---|---|---|
| (1) | BERT | 87.289 | 95.586 | 91.137 |
| (2) | BG | 90.649 | 93.275 | 91.914 |
| (3) | BL | 87.533 | 94.926 | 91.071 |
| (4) | BGA | 91.323 | 92.212 | 91.748 |
| (5) | BLA | 91.533 | 92.432 | 91.931 |
| (6) | BH | 89.523 | 93.826 | 91.595 |
| (7) | BHW | 90.595 | 93.092 | 91.816 |
| (8) | B_LEX | 88.354 | 94.339 | 91.237 |
| (9) | BHW_LEX | 88.24 | 95.146 | 91.557 |
| (10) | BERT-BGRU |
89.935 | 94.082 | 91.976 |
Sst-2 data set
| Sentence number | Positive | Negativity | |
|---|---|---|---|
| Training set | 6524 | 3472 | 3241 |
| Verification set | 785 | 393 | 382 |
| Test set | 1745 | 886 | 893 |
Results of the experiment on IMDB
| Model serial number | Model | Accuracy rate (P) | Recall rate (R) | F1 value (F1-score) |
|---|---|---|---|---|
| (1) | BERT | 86.592 | 95.182 | 90.316 |
| (2) | BG | 89.986 | 92.395 | 91.099 |
| (3) | BL | 89.305 | 93.129 | 91.128 |
| (4) | BGA | 90.12 | 91.589 | 90.789 |
| (5) | BLA | 88.515 | 93.422 | 90.897 |
| (6) | BH | 89.249 | 91.258 | 89.978 |
| (7) | BHW | 92.815 | 88.985 | 90.844 |
| (8) | B_LEX | 91.276 | 91.295 | 91.281 |
| (9) | BHW_LEX | 90.166 | 91.699 | 90.861 |
| (10) | BERT-BGRU |
87.965 | 94.669 | 91.276 |
Confusion matrix
| Answer | Positive | Negative |
|---|---|---|
| Forecast | ||
| Positive) | Kidney-YANG | False resistance |
| Negative | False Yin | Kidney-YIN |