Automated abuse detection of privacy policy
With the wide adoption of smart devices and mobile apps, users are able to perform daily activities such as internet banking, shopping and even instant messaging. These mobile apps collect a variety of information from their users which poses significant risks to data privacy. Therefore, privacy pol...
Saved in:
Main Author: | Tan, Soo Yong |
---|---|
Other Authors: | Liu Yang |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148046 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Automated source code summarization via transformer
by: Viswen Kumar Mariammalle
Published: (2021) -
Event detection for biomedical text
by: Pham, Nguyen Minh Thu
Published: (2022) -
Event detection for cyber security news articles
by: Huang, Jovan Tian Chun
Published: (2023) -
Deep learning techniques for hate speech detection
by: Sam, Jared Mun Kit
Published: (2023) -
Personality detection from text, based on the MBTI model
by: Christienne Grace Regodon, Visco
Published: (2020)