Fake review detection by fusing parameter efficient adapters in pre-trained language model
Peer-to-peer reviews are important to businesses. Review ratings affect the reputations of businesses, which helps the growth of the business. However, fake reviews are increasingly plaguing the internet, leading to bad quality purchases or even scams. This is especially common on services and marke...
Saved in:
Main Author: | Ho, See Cheng |
---|---|
Other Authors: | Lihui Chen |
Format: | Thesis-Master by Research |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173129 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Manipulating adaptive processes by constructive training-time attacks
by: Bector, Ridhima
Published: (2024) -
Deep learning for fusing speech and text for detection of Alzheimer’s Disease
by: Tan, Jun Xian
Published: (2022) -
Dota2 pre-game prediction
by: Wu, Hao
Published: (2020) -
Vision language representation learning
by: Yang, Xiaofeng
Published: (2023) -
Neural architectures for natural language understanding
by: Tay, Yi
Published: (2019)