Open Access
| Issue |
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|
|
|---|---|---|
| Article Number | 03029 | |
| Number of page(s) | 6 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20224403029 | |
| Published online | 05 May 2022 | |
- J. Yin, X. Peng, Y. Qiao, H. Xing, J. Li, R. Ji, Visual-textual sentiment analysis in product reviews, IEEE ICIP, pp. 869–873, doi: 10.1109/ICIP.2019.8802992 (2019) [Google Scholar]
- A. Hu, S. Flaxman, Multimodal Sentiment Analysis to explore the structure of emotions, ACM SIGKDD, International conference on Knowledge Discovery and Data Mining, pp. 350–358, doi: 10.1145/3219819.3219853 (2018) [Google Scholar]
- Q. Tuan Truong, H.W. Lauw, Visual Sentiment Analysis for review images with item-oriented and user-oriented CNN, ACM International Conference on Multimedia, pp. 1274–1282, doi: 10.1145/3123266.3123374 (2017) [Google Scholar]
- P. Tarnowski, M. Koiodziej, A. Majkowski, R.J. Rak, Emotion recognition using facial expressions, ICCS, pp.1175–1184, doi: 10.1016/j.procs.2017.05.025 (2017) [Google Scholar]
- S. Kumar, S. Jaiswal, R. Kumar, and S.K. Singh, Emotion Recognition Using Facial Expression, IGI Publications, USA, pp. 1–19, doi: 10.4018/978-1-4666-8723-3.ch013 (2016) [Google Scholar]
- P. Viola, M. Jones. Rapid object detection using ad- aboosted cascade of simple features, IEEE Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001. Vol, pp. 1–1, doi: 10.1109/CVPR.2001.990517 (2001) [Google Scholar]
- X. Fang, J. Zhan, Sentiment analysis using product review data, Journal of Big Data 2.1, article no. 5, doi: 10.1186/s40537-015-0015-2 (2015) [Google Scholar]
- A. Jaiswal, Raju, A.K.S. Deb, Facial emotion detection using deep learning, IEEE INCET, pp. 1–5, doi: 10.1109/INCET49848.2020.9154121 (2020) [Google Scholar]
- S. Jindal, Sanjay Singh, Image Sentiment Analysis using Deep Convolutional Neural Networks with Domain Specific Fine Tuning, International Conference on Information Processing IEEE, pp. 447–451, doi: 10.1109/INFOP.2015.7489424 (2015) [Google Scholar]
- S. Ramalingam, F. Garzia, Facial expression recognition using transfer learning, IEEE ICCST, International Carnahan Conference on Security Technology, pp. 1–5, doi: 10.1109/CCST.2018.8585504 (2018) [Google Scholar]
- A.M. Jagtap, V. Kangale, K. Unune and P. Gosavi, A Study of LBPH, Eigenface, Fisherface and Haar-like features for Face recognition using OpenCV, IEEE ICISS, International Conference on Intelligent Sustainable System, pp. 219–224, doi: 10.1109/ISS1.2019.8907965 (2019) [Google Scholar]
- N. Mehendale, Facial Emotion Recognition using Convolutional Neural Networks (FERC). SN Applied Sciences 2, 446, pp.1–8, doi: 10.1007/s42452-020- 2234-1 (2020) doi: 10.11591/ijeecs.v25.i3.pp1420-1428. [Google Scholar]
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