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Pittipol Kantavat. Spam article detection on social media platform using deep learning : enhancing content integrity and user experience. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2023.
Spam article detection on social media platform using deep learning : enhancing content integrity and user experience
Name: Panuwat Chiawchansilp
Organization :
Chulalongkorn University. Faculty of Engineering
Email :
6370228821@student.chula.ac.th
Name: Pittipol Kantavat
Organization :
Chulalongkorn University. Faculty of Engineering
Email :
pittipol.k@chula.ac.th
LCSH:
Spam (Electronic mail)
LCSH:
Online social networks
LCSH:
Internet fraud
Abstract:
In the digital age, the widespread use of online social media corresponds
with a rise in spam. These messages often appear as forceful
ads, sales offer, gambling promotions, or repetitive chain messages,
and they compromise users experiences and the overall communication
quality on these platforms. Various strategies have been
developed to tackle this problem. Some strategies involve human
reviewers, which is a straightforward yet time-consuming method.
Others utilize advanced techniques like machine and deep learning.
Even though a substantial amount of research has applied these
methods to English-based spam, studies focusing on Thai language
spam are limited. Given this context, our study seeks to develop
tools based on machine and deep learning techniques to identify
and classify Thai spam content effectively. The central goal of our
research is to compare these techniques and determine the most
effective model for classifying Thai spam content
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2023
Modified:
2025-03-03
Issued:
2025-03-03
บทความ/Article
application/pdf
BibliograpyCitation :
In King Mongkut's University of Technology Thonburi. The 13th International Conference on Advances in Information Technology (IAIT 2023) (Article 5). Bangkok : King Mongkut's University of Technology Thonburi
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.017624 วินาที
Panuwat Chiawchansilp
| Title | Contributor | Type |
|---|---|---|
| Spam article detection on social media platform using deep learning : enhancing content integrity and user experience
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Panuwat Chiawchansilp;Pittipol Kantavat | บทความ/Article |
Pittipol Kantavat
| Title | Contributor | Type |
|---|---|---|
| Spam article detection on social media platform using deep learning : enhancing content integrity and user experience
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Panuwat Chiawchansilp;Pittipol Kantavat | บทความ/Article | |
| Article feed recommendation system for Thai social media application using article context based on deep learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pannawit Athipatcharawat;Dhata Muangrux;Ekapol Chuangsuwanich;Pittipol Kantavat | บทความ/Article | |
| Automated stock trading system using technical analysis and deep learning models
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Weerapat Buachuen;Pittipol Kantavat | บทความ/Article |