Sentiment Analysis in Twitter by Resnet-50 and VGG-19
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3394-3_12
Reference14 articles.
1. Kopev, D., Atanasov, At., Zlatkova, D., Hardalov, M., Koychev, I.: Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and SVM (2018)
2. Liao, S., Wang, J., Yu, R., Sato, K., Cheng, Z.: CNN for situations understanding based on sentiment analysis of twitter data. Procedia Comput. Sci. 111, 376–381 (2017)
3. Y. Chen, J.Y., You, Q., Luo, J.: Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM (2018). arXiv.org > cs > arXiv:1807.07961
4. G., U.D., M.Kumar, P., C. Babu, . et al. (2021) Sentiment Analysis on Twitter Data by Using Convolutional Neural Network and Long ShortTerm Memory. Wireless Pers Commun
5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
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