Aspect-Level Sentiment Classification Based on Graph Attention Network with BERT
Zou J, Wu S, Yang Z, Chen C, Sun Y, Jiang M, Huang Y (2022)
Publication Type: Conference contribution
Publication year: 2022
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 1586 CCIS
Pages Range: 231-244
Conference Proceedings Title: Communications in Computer and Information Science
Event location: Qinghai
ISBN: 9783031067662
DOI: 10.1007/978-3-031-06767-9_19
Abstract
With accelerated evolution of the internet, people can express their sentiments towards organizations, politics, products, events, etc. Analyzing these sentiments becomes very beneficial for businesses, government and individuals. To some extent, text sentiment analysis involves Internet content security. Aspect level sentiment classification aims to recognize the sentiment expressed towards a special target given a context sentence, which is more fine-grained than sentence level or document level sentiment analysis. Most previous works concentrate on the semantic information between the contexts and the aspect terms, but they ignore the structural information of the sentences. In this paper, we propose a new method based on Graph Attention Network (GAT) to deal with the complex connections among words in sentences through structural features. A lot of experiments are conducted on two datasets: Laptop and Restaurant from SemEval2014, the results show that our model outperforms other previous works, which confirms the effectiveness of taking sentence structural information into account.
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How to cite
APA:
Zou, J., Wu, S., Yang, Z., Chen, C., Sun, Y., Jiang, M., & Huang, Y. (2022). Aspect-Level Sentiment Classification Based on Graph Attention Network with BERT. In Xingming Sun, Xiaorui Zhang, Zhihua Xia, Elisa Bertino (Eds.), Communications in Computer and Information Science (pp. 231-244). Qinghai, CN: Springer Science and Business Media Deutschland GmbH.
MLA:
Zou, Jiajun, et al. "Aspect-Level Sentiment Classification Based on Graph Attention Network with BERT." Proceedings of the 8th International Conference on Artificial Intelligence and Security , ICAIS 2022, Qinghai Ed. Xingming Sun, Xiaorui Zhang, Zhihua Xia, Elisa Bertino, Springer Science and Business Media Deutschland GmbH, 2022. 231-244.
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