Publisher
Springer Nature Switzerland
Reference38 articles.
1. Acheampong, F.A., Wenyu, C., Nunoo-Mensah, H.: Text-based emotion detection: advances, challenges, and opportunities. Eng. Rep. 2(7), e12189 (2020)
2. Antaki, F., Touma, S., Milad, D., El-Khoury, J., Duval, R.: Evaluating the performance of ChatGPT in ophthalmology: an analysis of its successes and shortcomings. medRxiv (2023)
3. Baran, J., Kocoń, J.: Linguistic knowledge application to neuro-symbolic transformers in sentiment analysis. In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 395–402. IEEE (2022)
4. Bravo-Marquez, F., Frank, E., Mohammad, S.M., Pfahringer, B.: Determining word-emotion associations from tweets by multi-label classification. In: 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 536–539. IEEE (2016)
5. Chen, S.Y., Hsu, C.C., Kuo, C.C., Ku, L.W., et al.: EmotionLines: an emotion corpus of multi-party conversations. arXiv preprint arXiv:1802.08379 (2018)
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献