Open Access
| Issue |
ITM Web Conf.
Volume 88, 2026
The 2026 International Conference on Artificial Intelligence, Big Data and Computer Science (AIBDCS 2026)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 5 | |
| Section | Artificial Intelligence, Big Data and Computer Science | |
| DOI | https://doi.org/10.1051/itmconf/20268801017 | |
| Published online | 27 July 2026 | |
- Q. Y. Wang, S. C. Shi, H. J. Wang. A survey of text sentiment analysis. Software Guide, 24(01): 193–202. (2025) [Google Scholar]
- D. E. Cahyani, A. P. Wibawa, D. D. Prasetya, L. Gumilar, F. Akhbar, E. R. Triyulinar. Text-based emotion detection using CNN-BILSTM. 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS): 1-5. (2022) [Google Scholar]
- J. Devlin, M. W. Chang, K. Lee, K. Toutanova. Bert: Pre-training of deep bidirectional transformers for language understanding. Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers): 4171–4186. (2019) [Google Scholar]
- M. Singh, A. K. Jakhar, S. Pandey. Sentiment analysis on the impact of coronavirus in social life using the BERT model. Social Network Analysis and Mining, 11(1): 33. (2021) [Google Scholar]
- A. R. Abas, I. Elhenawy, M. Zidan, M. Othman. Bert-cnn: A deep learning model for detecting emotions from text. Computers, Materials, & Continua, 71(2): 2943. (2022) [Google Scholar]
- H. Y. Si, X. Y. Wei. Sentiment analysis of social network comment text based on LSTM and bert. Journal of Circuits, Systems and Computers, 32(17): 2350292. (2023) [Google Scholar]
- K. H. Chen, G. Y. Wei. Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation. Plos one, 18(4): e0285175. (2023) [Google Scholar]
- mlln-cn. Corpus of Chinese sentiment analysis. 2018. https://mlln.cn/2018/10/11/, 2026-03-01. (2018) [Google Scholar]
- X. Q. Jiao, Y. C. Yin, L. F. Shang, X. Jiang, X. Chen, L. L. Li, F. Wang, Q. Liu. Tinybert: Distilling bert for natural language understanding. Findings of the association for computational linguistics: EMNLP 2020: 4163-4174. (2020) [Google Scholar]
- M. Grootendorst. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794. (2022) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.