Surveying the Landscape: Compound Methods for Aspect-Based Sentiment Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47843-7_8
Reference43 articles.
1. Bao, X., Zhongqing, W., Jiang, X., Xiao, R., Li, S.: Aspect-based sentiment analysis with opinion tree generation. In: Raedt, L.D. (ed.) Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-2022, pp. 4044–4050. International Joint Conferences on Artificial Intelligence Organization (2022). Main Track
2. Bhamare, B.R., Jeyanthi, P., Subhashini, R.: Aspect level sentiment analysis approaches. In: 2019 5th International Conference on Computing, Communication, Control and Automation (ICCUBEA), pp. 1–5 (2019)
3. Bi, S., Li, Z., Brown, M., Wang, L., Xu, Y.: Dynamic weighted and heat-map integrated scalable information path-planning algorithm. EAI Endorsed Trans. Scalable Inf. Syst. 10(2), 1–11 (2022). https://eudl.eu/pdf/10.4108/eetsis.v9i5.1567
4. Birjali, M., Kasri, M., Beni-Hssane, A.: A comprehensive survey on sentiment analysis: approaches, challenges and trends. Knowl.-Based Syst. 226, 107134 (2021)
5. Brauwers, G., Frasincar, F.: A survey on aspect-based sentiment classification. ACM Comput. Surv. 55(4), 1–37 (2022)
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