Cyberbullying Classification Using a Natural Language Processing and Machine Learning Techniques
The usage of online entertainment has increased dramatically after some time with the enhancement of the Internet and has turned into the most compelling systems administration stage in this century. Notwithstanding, the upgrade of a social network regularly makes adverse consequences on society that add to two or three terrible peculiarities, for example, online maltreatment, badgering cyberbullying, cybercrime, and internet savaging. Cyberbullying habitually prompts genuine mental and actual misery, especially for ladies and kids, and even occasionally make them to use self-destruction methods. Multiple number of episodes have as of late happened worldwide because of online badgering, like sharing private talks, bits of hearsay, and sexual comments. In this way, the distinguishing proof of harassing messages or messages via online entertainment has gained a significant measure for development for consideration with in scientists. The ground or motive for this exploration is to create a full-fledged way or a method to differentiate online harmful and tormenting drafts by combining various methods and techniques in the domain of natural language processing and AI
Authors
- Aditya Khamparia (ORCID: https://orcid.org/0000-0001-9019-8230)
- Sagar Dhanraj Pande (ORCID: https://orcid.org/0000-0003-4506-6997)
- Fadi M. Al-Turjman (ORCID: https://orcid.org/0000-0001-5418-873X)
- Ankita Shrikrushna Nathe
- Nikhilesh Pramod Mankar
- Aravind K. Joshi
- Tushar Mahure
Institutions
- Babasaheb Bhimrao Ambedkar University (IN)
- Sant Gadge Baba Amravati University (IN)
- Near East University (CY)
- Savitribai Phule Pune University (IN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/acroset62108.2024.10743842
- Primary Topic
- Hate Speech and Cyberbullying Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00