Open Access
| Issue |
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|
|
|---|---|---|
| Article Number | 04017 | |
| Number of page(s) | 8 | |
| Section | Computer Science | |
| DOI | https://doi.org/10.1051/e3sconf/202339904017 | |
| Published online | 12 July 2023 | |
- V. Rupapara, F. Rustam, H. F. Shahzad, A. Mehmood, I. Ashraf, and G. S. Choi, “Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model,” in IEEE Access, 9 (2021). [Google Scholar]
- H. Oh, “A YouTube Spam Comments Detection Scheme Using Cascaded Ensemble Machine Learning Model,” in IEEE Access, 9 (2021). [Google Scholar]
- D. Wang, Y. Guo, W. Dong, Z. Wang, H. Liu and S. Li, “Deep Code-Comment Understanding and Assessment,” in IEEE Access, 7 (2019). [Google Scholar]
- X. Song, H. Sun, X. Wang and J. Yan, “A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques,” in IEEE Access, 7 (2019). [Google Scholar]
- M. Jiang, J. Wu, X. Shi, and M. Zhang, “Transformer-Based Memory Network for Sentiment Analysis of Web Comments,” in IEEE Access, 7 (2019). [Google Scholar]
- Jin, Qibing & Xue, Xingrong & Peng, Wenjuan & Cai, Wu & Zhang, Yuming & Zhang, Ling. TBLC-rAttention: A Deep Neural Network Model for Recognizing the Emotional Tendency of Chinese Medical Comment. IEEE Access. (2020). [Google Scholar]
- G. Xu, Y. Meng, X. Qiu, Z. Yu, and X. Wu, “Sentiment Analysis of Comment Texts Based on BiLSTM,” in IEEE Access, 7 (2019). [Google Scholar]
- N. Jin, J. Wu, X. Ma, K. Yan, and Y. Mo, “Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification,” in IEEE Access, 8 (2020). [Google Scholar]
- Wang, Fudong & Fu, Xiayu & Sun, Zengyao. A Comparative Analysis of the Impact of Barrage and Comments on Video Popularity. IEEE Access (2021). [Google Scholar]
- G. Tian, Q. Wang, Y. Zhao, L. Guo, Z. Sun and L. Lv, “Smart Contract Classification with a Bi-LSTM Based Approach,” in IEEE Access, 8 (2020). [Google Scholar]
- P. Matheswaran, C. Navaneethan, S. Meenatchi, S. Ananthi, K. Janaki, A. Manjunathan. Image Privacy in Social Network Using Invisible Watermarking Techniques. Annals of the Romanian Society for Cell Biology, 25(5) 319–327 (2021) [Google Scholar]
- Rajagopal Sudarmani, Kanagaraj Venusamy, Sathish Sivaraman, Poongodi Jayaraman, Kannadhasan Suriyan, Manjunathan Alagarsamy. Machine to machine communication enabled internet of things: a review. International Journal of Reconfigurable and Embedded Systems, 11(2), 126–134 (2022). [Google Scholar]
- Kannadhasan Suriyan, Nagarajan Ramaingam, Sudarmani Rajagopal, Jeevitha Sakkarai, Balakumar Asokan, Manjunathan Alagarsamy. Performance analysis of peak signal-to-noise ratio and multipath source routing using different denoising method. Bulletin of Electrical Engineering and Informatics, 11(1), 286–292 (2022). [CrossRef] [Google Scholar]
- Chitra Raju, Sudarmani Rajagopal, Kanagaraj Venusamy, Kannadhasan Suriyan, Manjunathan Alagarsamy. SDSFLF: fault localization framework for optical communication using software digital switching network. International Journal of Reconfigurable and Embedded Systems (IJRES), 12(1), 113–124 (2023) [CrossRef] [Google Scholar]
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