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References

1 
Yang X. , Lv F. , Liu F. , Lin G. , 2023, Self-training vision language BERTs with a unified conditional model, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 33, No. 8, pp. 3560-3569DOI
2 
Bu Y. , Chen T. , Duan H. , Liu M. , Xue Y. , 2024, A semi-supervised learning approach for semantic parsing boosted by BERT word embedding, Journal of Intelligent & Fuzzy Systems, Vol. 46, No. 3, pp. 6577-6588DOI
3 
Liu C. , Zhu W. , Zhang X. , Zhai Q. , 2023, Sentence part-enhanced BERT with respect to downstream tasks, Complex & Intelligent Systems, Vol. 9, No. 1, pp. 463-474DOI
4 
Deng L. , Yin T. , Li Z. , Ge Q. , 2023, Sentiment analysis of comment data based on BERT-ETextCNN-ELSTM, Electronics, Vol. 12, No. 13, pp. 2023DOI
5 
Habbat N. , Nouri H. , Anoun H. , Hassouni L. , 2023, Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learning, Engineering Applications of Artificial Intelligence, Vol. 126, pp. 2023DOI
6 
Mutinda J. , Mwangi W. , Okeyo G. , 2023, Sentiment analysis of text reviews using lexicon-enhanced BERT embedding (LeBERT) model with convolutional neural network, Applied Sciences, Vol. 13, No. 3, pp. 2023DOI
7 
Zhou X. , 2023, Sentiment analysis of the consumer review text based on BERT-BiLSTM in a social media environment, International Journal of Information Technologies and Systems Approach, Vol. 16, No. 2, pp. 2023DOI
8 
Duan R. , Huang Z. , Zhang Y. , Liu X. , Dang Y. , 2021, Sentiment classification algorithm based on the cascade of BERT model and adaptive sentiment dictionary, Wireless Communications & Mobile Computing, Vol. 2021, pp. 2021DOI
9 
Hao S. , Zhang P. , Liu S. , Wang Y. , 2023, Sentiment recognition and analysis method of official document text based on BERT-SVM model, Neural Computing & Applications, Vol. 35, No. 35, pp. 24621-24632DOI
10 
Jia N. , Yao C. , 2024, ShallowBKGC: A BERT-enhanced shallow neural network model for knowledge graph completion, PeerJ Computer Science, Vol. 10, pp. 2024DOI
11 
Shen S. , Liu J. , Lin L. , Huang Y. , Zhang L. , Liu C. , Feng Y. , Wang D. , 2023, SsciBERT: a pre-trained language model for social science texts, Scientometrics, Vol. 128, No. 2, pp. 1241-1263DOI
12 
Siddharth M. , Aarthi R. , 2021, Text to image GANs with RoBERTa and fine-grained attention networks, International Journal of Advanced Computer Science and Applications, Vol. 12, No. 12, pp. 947-955DOI
13 
Prottasha N. J. , Sami A. A. , Kowsher M. , Murad S. A. , Bairagi A. K. , Masud M. , Baz M. , 2022, Transfer learning for sentiment analysis using BERT-based supervised fine-tuning, Sensors, Vol. 22, No. 11, pp. 2022DOI
14 
Acheampong F. A. , Nunoo-Mensah H. , Chen W. , 2021, Transformer models for text-based emotion detection: A review of BERT-based approaches, Artificial Intelligence Review, Vol. 54, No. 8, pp. 5789-5829DOI
15 
Phuc D. , Hung L. , Pham A. B. , Nguyen C. H. , 2022, Using BERT and knowledge graph for detecting triples in Vietnamese text, Neural Computing & Applications, Vol. 34, No. 20, pp. 17999-18013DOI
16 
Chang C. , Tang Y. , Long Y. , Hu K. , Li Y. , Li J. , Wang C.-D. , 2023, Multi-information preprocessing event extraction with BiLSTM-CRF attention for academic knowledge graph construction, IEEE Transactions on Computational Social Systems, Vol. 10, No. 5, pp. 2713-2724DOI
17 
Shen K. , Yan D. , Ye Z. , Xu X. , gao J. , Dong L. , Peng C. , Yang K. , 2023, Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM, Signal, Image and Video Processing, Vol. 17, No. 7, pp. 3377-3385DOI
18 
Ranjan R. , Daniel A. K. , 2022, An optimized deep convolutional network sentiment classification model with word embedding and BiLSTM technique, Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 11, No. 3, pp. 309-329DOI
19 
Zhou X. , 2023, Sentiment analysis of the consumer review text based on BERT-BiLSTM in a social media environment, International Journal of Information Technologies and Systems Approach, Vol. 16, No. 2, pp. 2023DOI
20 
Hsieh Y.-H. , Zeng X.-P. , 2022, Sentiment analysis: an ERNIE-BiLSTM approach to bullet screen comments, Sensors, Vol. 22, No. 14, pp. 2022DOI
21 
Liu J. , 2023, Sentiment classification of social network text based on AT-BiLSTM model in a big data environment, International Journal of Information Technologies and Systems Approach, Vol. 16, No. 2, pp. 2023DOI
22 
Demirci D. , Sahin N. , Sirlancis M. , Acarturk C. , 2022, Static malware detection using stacked BiLSTM and GPT-2, IEEE Access, Vol. 10, pp. 58488-58502DOI
23 
He A. , Abisado M. , 2024, Text sentiment analysis of Douban film short comments based on BERT-CNN-BiLSTM-Att model, IEEE Access, Vol. 12, pp. 45229-45237DOI
24 
Sangeetha J. , Kumaran U. , 2023, Using BiLSTM structure with cascaded attention fusion model for sentiment analysis, Journal of Scientific & Industrial Research, Vol. 82, No. 4, pp. 444-449DOI
25 
Rao P. J. , Rao K. N. , Gokuruboyina S. , 2022, An experimental study with fuzzy-wuzzy (partial ratio) for identifying the similarity between English and French languages for plagiarism detection, International Journal of Advanced Computer Science and Applications, Vol. 13, No. 10, pp. 393-401DOI
26 
Hilal A. M. , Al-Wesabi F. N. , Abdelmaboud A. , Hamza M. A. , Mahzari M. , Hassan A. Q. A. , 2022, A hybrid intelligent text watermarking and natural language processing approach for transferring and receiving an authentic English text via internet, The Computer Journal, Vol. 65, No. 2, pp. 423-435DOI
27 
Wang Y. , 2021, An improved machine learning and artificial intelligence algorithm for classroom management of English distance education, Journal of Intelligent & Fuzzy Systems, Vol. 40, No. 2, pp. 3477-3488DOI
28 
Wang R. , 2023, Research on effectiveness of college English blended teaching mode under small private online course based on machine learning, SN Applied Sciences, Vol. 5, No. 2, pp. 2023DOI
29 
Zhang J. , 2022, Research on multimedia and interactive teaching model of college English, International Journal of Computational Science and Engineering, Vol. 25, No. 6, pp. 587-592DOI
30 
Yin J. , Cui J. , 2023, Secure application of MIoT: privacy-preserving solution for online English education platforms, Applied Sciences, Vol. 13, No. 14, pp. 2023DOI