Multilingual Cyberbullying Detection System
- Resource Type
- Conference
- Authors
- Pawar, Rohit; Raje, Rajeev R.
- Source
- 2019 IEEE International Conference on Electro Information Technology (EIT) Electro Information Technology (EIT), 2019 IEEE International Conference on. :040-044 May, 2019
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Measurement
Social networking (online)
Machine learning
Training
Feature extraction
Data models
Classification algorithms
Cyberbullying
Machine Learning
Multilingual Cyberbullying for Indian Languages
- Language
- ISSN
- 2154-0373
As the use of social media has evolved in recent times, so has the ability to cyberbully victims using it. The last decade has witnessed a surge of cyberbullying-this bullying is not only limited to English but also happens in other languages. A large number of mobile device users are in Asian countries such as India. Such a large audience is a fertile ground for cyberbullies -hence, it is very important to detect cyberbullying in multiple languages. Most of the current approaches to identify cyberbullying are focused on English text, and a very few approaches are venturing into other languages. This paper proposes a Multilingual Cyberbullying Detection System for detection of cyberbullying in two Indian languages- Hindi and Marathi. We have developed a prototype that operates across data sets created for these two languages. Using this prototype, we have carried out experiments to detect cyberbullying in these two languages. The results of our experiments show an accuracy up-to 97% and Fl-score up-to 96% on many datasets for both the languages.