1. Baccianella, S., Esuli, A., Sebastiani, F., et al.: Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Lrec, vol. 10, pp. 2200–2204 (2010)
2. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877–1901 (2020)
3. Cao, J., Liu, R., Peng, H., Jiang, L., Bai, X.: Aspect is not you need: No-aspect differential sentiment framework for aspect-based sentiment analysis. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1599–1609. Association for Computational Linguistics, Seattle, United States, July 2022. https://doi.org/10.18653/v1/2022.naacl-main.115. https://aclanthology.org/2022.naacl-main.115
4. Lecture Notes in Computer Science;Y-C Chen,2020
5. Chesley, P., Vincent, B., Xu, L., Srihari, R.K.: Using verbs and adjectives to automatically classify blog sentiment. Training 580(263), 233 (2006)