Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective.
Hao Fei|Yafeng Ren|Shengqiong Wu|Bobo Li|Donghong Ji
| Anthology ID: | DBLP:conf/www/0001RWLJ21 |
|---|---|
| Volume: | WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. |
| Year: | 2021 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM / IW3C2 |
| Pages: | 553-564 |
| URL: | https://doi.org/10.1145/3442381.3449789 |
| DOI: | https://doi.org/10.1145/3442381.3449789 |
| DBLP: | conf/www/0001RWLJ21 |
| BibTeX: |
@inproceedings{fei-2021-latent,
author = {Hao Fei and
Yafeng Ren and
Shengqiong Wu and
Bobo Li and
Donghong Ji},
editor = {Jure Leskovec and
Marko Grobelnik and
Marc Najork and
Jie Tang and
Leila Zia},
title = {{Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective}},
booktitle = {{WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021}},
pages = {553--564},
publisher = {ACM / IW3C2},
year = {2021},
url = {https://doi.org/10.1145/3442381.3449789},
doi = {https://doi.org/10.1145/3442381.3449789}
}