Enhancing social media Integrity a Machine learning based rumor identification system utilizing CNN for accurate real time tweet analysis

M. S. Maharajan; Hariharan Akshay Dev; Jeffrey Steve Paul S; Lakshmikanthan G; Chandru D; Dhanush Kodi R; Gopinathan M.

doi:10.52711/2321-581X.2025.00008

Research Journal of Engineering and Technology

ISSN

2321-581X (Online)
0976-2973 (Print)

Submit Article

Enhancing social media Integrity a Machine learning based rumor identification system utilizing CNN for accurate real time tweet analysis

Author(s): M. S. Maharajan, Hariharan Akshay Dev, Jeffrey Steve Paul S, Lakshmikanthan G, Chandru D, Dhanush Kodi R, Gopinathan M.

Email(s): maha84rajan@gmail.com

DOI: 10.52711/2321-581X.2025.00008

Address: M. S. Maharajan*, Hariharan Akshay Dev, Jeffrey Steve Paul S, Lakshmikanthan G, Chandru D, Dhanush Kodi R, Gopinathan M.
Department of Artificial Intelligence & Data Science, Panimalar Engineering College, Chennai, 600123, India.
*Corresponding Author

Published In: Volume - 16, Issue - 2, Year - 2025

Keywords:

A combination of Network Security with SIP Signal and Convolutional Neural Networks (CNN) and Attack Detection and Real-Time Analysis and Deep Learning systems forms the base of this research.

Cite this article:
M. S. Maharajan, Hariharan Akshay Dev, Jeffrey Steve Paul S, Lakshmikanthan G, Chandru D, Dhanush Kodi R, Gopinathan M.. Enhancing social media Integrity a Machine learning based rumor identification system utilizing CNN for accurate real time tweet analysis. Research Journal of Engineering and Technology. 2025; 16(2):80-0. doi: 10.52711/2321-581X.2025.00008

Purchase PDF

Recomonded Articles:

Enhancing social media Integrity a Machine learning based rumor identification system utilizing CNN for accurate real time tweet analysis

Author(s): M. S. Maharajan, Hariharan Akshay Dev, Jeffrey Steve Paul S, Lakshmikanthan G, Chandru D, Dhanush Kodi R, Gopinathan M.

DOI: 10.52711/2321-581X.2025.00008 Access: Closed Access Read More

Research Journal of Engineering and Technology (RJET) is an international, peer-reviewed, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology....... Read more >>>

RNI: Not Available
DOI: 10.5958/2321-581X