Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

<Previous Article In Volume
Next Article In Volume>

Artificial Intelligence Based Cyberharassment Preventive System Through Aggressive Text Detection And Classification

Authors
R. Vanitha1, *, R. Pavin2, T. Janarthanan3, M. Kaviya4
1IFET College of Engineering, CSE, Viluppuram, Tamil Nadu, India
2IFET College of Engineering, CSE, Viluppuram, Tamil Nadu, India
3IFET College of Engineering, CSE, Viluppuram, Tamil Nadu, India
4IFET College of Engineering, CSE, Viluppuram, Tamil Nadu, India
*Corresponding author. Email: vanithaifet22@gmail.com
Corresponding Author
R. Vanitha
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_48How to use a DOI?
Keywords
Cyberbullying; Machine Learning; Harmful Language; AI-Driven System; Offensive Content Detection; Social Media Safety
Abstract

In todays digital world, online safety is more crucial than ever, especially with the growing concern of cyberbullying this project present a design to prevent aggressiveness in social media interaction by identifying and blocking offensive content in social media. The rapid evolution of AI offers transformative opportunities to enhance cyberbullying. This project proposed an AI-Driven system that leverages machine learning algorithms to detect and prevent the dissemination of aggressive and hostile language on social media platform. This system primary goal is to prevent harmful content before it reaches user or administrator thereby reducing the imapact of cyberbullying. By analyzing patterns and keywords of the text indicating aggressive content, this system seeks to promote a more secure internet environment through the integration of advanced AI technologies the project aspires to set a new standard in mitigating cyberbullying contributing to safer digital interaction across social media.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_48How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Vanitha
AU  - R. Pavin
AU  - T. Janarthanan
AU  - M. Kaviya
PY  - 2025
DA  - 2025/06/22
TI  - Artificial Intelligence Based Cyberharassment Preventive System Through Aggressive Text Detection And Classification
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 601
EP  - 613
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_48
DO  - 10.2991/978-94-6463-738-0_48
ID  - Vanitha2025
ER  -