[Home ] [Archive]   [ فارسی ]  
:: Main :: Archive :: About :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 4, Issue 1 (7-2020) ::
C4I Journal 2020, 4(1): 38-51 Back to browse issues page
A New Preprocessing Method for Rumor Detection in Social Networks based on LSTM-CNN
Maryam Khosravi , Hossein Shirazi * , Kourosh Dadahstabar , S.Alireza Hashemi Golpaygani
Malek-ashtar University of Technology
Abstract:   (3242 Views)
Recently, using social networks increases and people propagate their information through this networks. One of the most important challenges in these networks is sentiment attack, in which the attacker spreads rumors to influence users. Therefor rumor detection become important and attracts expanding research attention. Most of the previous works using deep neural networks for rumor detection without special preprocessing but we propose a new method for preprocessing data before learning which improve results. we use LSTM-CNN architecture with cyclical learning rate to detect Persian rumors. Beside that we investigate BERT model for Persian tweets. Our results demonstrate the effectiveness of this approach for English and Persian rumor detection.
Keywords: Deep learning, Preprocessing, Rumor detection, Social network
Full-Text [PDF 924 kb]   (2234 Downloads)    
Type of Study: Research | Subject: Artificial Intelligence
Received: 2020/03/12 | Accepted: 2020/07/14 | Published: 2020/11/20
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khosravi M, Shirazi H, Dadahstabar K, Hashemi Golpaygani S. A New Preprocessing Method for Rumor Detection in Social Networks based on LSTM-CNN. C4I Journal 2020; 4 (1) :38-51
URL: http://ic4i-journal.ir/article-1-203-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 1 (7-2020) Back to browse issues page
فصلنامه علمی-پژوهشی فرماندهی و کنترل C4I Journal

 
Persian site map - English site map - Created in 0.05 seconds with 37 queries by YEKTAWEB 4645