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28 April 2023 Research on university network public opinion sentiment analysis based on BERT and Bi-LSTM
Fang-ju Ran, Chen-zhi Xiong, Meng-yao Lu, Tian-qing Yang
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Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261044 (2023) https://doi.org/10.1117/12.2671058
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
This paper proposes a method of emotion analysis based on BERT BiLSTM. Firstly, BERT is used to realize the word vectorization, and then Bilstm is constructed to extract semantic features for emotional analysis. In the experiment, the model designed in this paper is compared with the emotional dictionary, SVM, Word2vec LSTM, BERT TextCNN on the college online public opinion comment dataset, and the experiment proves that the accuracy of this model has been improved.
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Fang-ju Ran, Chen-zhi Xiong, Meng-yao Lu, and Tian-qing Yang "Research on university network public opinion sentiment analysis based on BERT and Bi-LSTM", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261044 (28 April 2023); https://doi.org/10.1117/12.2671058
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KEYWORDS
Data modeling
Analytical research
Emotion
Machine learning
Semantics
Classification systems
Feature extraction
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