Name
Abstract | ||
|---|---|---|
Aspect-based sentiment analysis is a rapidly growing domain in natural language processing which is a fine-grained study. Within this broad field, most existing studies use large amounts of labeled data by deep learning methods. However, obtaining massive quantities of labeled data to train a deep neural network model is frequently time-consuming and laborious. In this paper, we focus on semi-supe... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CW52790.2021.00042 | 2021 International Conference on Cyberworlds (CW) |
Keywords | DocType | ISBN |
Aspect-based sentiment analysis,semi-supervised learning,Ladder Networks,Longformer | Conference | 978-1-6654-4065-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hang Zheng | 1 | 0 | 0.34 |
| Jianhui Zhang | 2 | 0 | 0.34 |
| Yoshimi Suzuki | 3 | 39 | 13.25 |
| Fumiyo Fukumoto | 4 | 107 | 29.82 |
| Hiromitsu Nishizaki | 5 | 163 | 29.49 |