## 3 Proposed Methodology
### Algorithm Flow of TextCNN + RoBERTa and RNN_Bert_Based
(2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Enhancing Machine Learning-Based Sentiment Analysis through Feature Extraction Techniques. _PLoS ONE_**2024**, _19_, e0294968. [CrossRef] [PubMed]
* [PERSON] (2020) [PERSON] Framework for Thought to Text Classification. _Int. J. Psychosc. Rehabil._**2020**, _24_, 418-424. [CrossRef]
* Challenges in text classification using machine learning techniques. _Int. J. Recent Trends Eng. Res._**2018**, \(4\), 81-83. * News Text Classification Model Based on Topic Model. _Int. J. Recent Trends Eng. Res._**2017**, \(3\), 48-52. * [PERSON] and [PERSON] (2021) [PERSON]; [PERSON] Combining Sentiment-Combined Model with Pre-Trained BERT Models for Sentiment Analysis. _J. KIISE_**2021**, _48_, 815-824. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] BERTScore: Evaluating Text Generation with BERT. _arXiv_**2020**, arXiv:1904.09675. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] BLEURT: Learning Robust Metrics for Text Generation. In Proceedings of the 58 th Annual Meeting of the Association for Computational Linguistics, Online, 9 April 2020. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Text Classification Research Based on Bert Model and Bayesian network. In Proceedings of the 2019 Chinese Automation Congress (CAC), Hangzhou, China, 22-24 November 2019; pp. 5842-5846. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Joint Representations of Texts and Labels with Compositional Loss for Short Text Classification. _J. Web Eng._**2021**, _20_, 669-688. [CrossRef]
* [PERSON] and [PERSON] (2024) [PERSON]; [PERSON] Chinese Multilabel Short Text Classification Method Based on GAN and Pinyin Embedding. _IEEE Access_**2024**, _12_, 83323-83329. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Tree Framework with BERT Word Embedding for the Recognition of Chinese Implicit Discourse Relations. _IEEE Access_**2020**, \(8\), 162004-162011. [CrossRef]
* [PERSON] and [PERSON] (2024) [PERSON]; [PERSON] A BERT-Enhanced Exploration of Web and Mobile Request Safety through Advanced NLP Models and Hybrid Architectures. _IEEE Access_**2024**, _12_, 76180-76193. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Improving BERT-Based Text Classification with Auxiliary Sentence and Domain Knowledge. _IEEE Access_**2019**, \(7\), 176600-176612. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Text Classification Method Based on BERT-Att-TextCNN Model. In Proceedings of the 2022 IEEE 5 th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Chongqing, China, 16-18 December 2022; pp. 1731-1735. [CrossRef]
* Alagha and Leveraging Knowledge-Based Features with Multilevel Attention Mechanisms for Short Arabic Text Classification. _IEEE Access_**2022**, _10_, 51908-51921. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] Joint Learning with BERT-GCN and Multi-Attention for Event Text Classification and Event Assignment. _IEEE Access_**2022**, _10_, 27031-27040. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Electric Power Audit Text Classification with Multi-Grained Pre-Trained Language Model. _IEEE Access_**2023**, _11_, 13510-13518. [CrossRef]
* [PERSON] (2023) [PERSON] Sentiment Analysis Classification System Using Hybrid BERT Models. _J. Big Data_**2023**, _10_, 110. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Survey on Bias in Deep NLP. _Appl. Sci._**2021**, _11_, 3184. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis. _arXiv_**2024**, arXiv:2403.08217. * _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis. _Appl. Sci._**2022**, _12_, 10236. [CrossRef]
* _[PERSON] et al.