Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract)
Keywords:Sentiment Analysis, Knowledge Graph, Cross-domain
AbstractCross-domain sentiment analysis (SA) has recently attracted significant attention, which can effectively alleviate the problem of lacking large-scale labeled data for deep neural network based methods. However, exiting unsupervised cross-domain SA models ignore the relation between the aspect and opinion, which suffer from the sentiment transfer error problem. To solve this problem, we propose an aspect-opinion sentiment alignment SA model and extensive experiments are conducted to evaluate the effectiveness of our model.
How to Cite
Ren, H., Cai, Y., & Zeng, Y. (2022). Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13033-13034. https://doi.org/10.1609/aaai.v36i11.21653
AAAI Student Abstract and Poster Program