An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning.
Li Yang|Zengzhi Wang|Ziyan Li|Jin-Cheon Na|Jianfei Yu
| Anthology ID: | DBLP:journals/ipm/YangWLNY24 |
|---|---|
| Year: | 2024 |
| Venue: | Information Processing and Management |
| Pages: | 103724 |
| URL: | https://doi.org/10.1016/J.IPM.2024.103724 |
| DOI: | https://doi.org/10.1016/J.IPM.2024.103724 |
| DBLP: | journals/ipm/YangWLNY24 |
| BibTeX: |
@article{yang-2024-empirical,
author = {Li Yang and
Zengzhi Wang and
Ziyan Li and
Jin-Cheon Na and
Jianfei Yu},
title = {{An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning}},
journal = {Information Processing and Management},
volume = {61},
number = {4},
pages = {103724},
year = {2024},
url = {https://doi.org/10.1016/J.IPM.2024.103724},
doi = {https://doi.org/10.1016/J.IPM.2024.103724}
}