Enhancing Cyberbullying Detection on Twitter with Psychological Features and Machine Learning

Author:

N Lalitha1,Sk Sumaya Thabasum1,N Tejaswini1,D Bhagya Sri1,R Srivani1

Affiliation:

1. Vignan Nirula Institute of Technology and Science for Women,Computer Science & Engineering,Guntur,India

Publisher

IEEE

Reference15 articles.

1. An IoT framework for quality analysis of aquatic water data using time-series convolutional neural network

2. A programme to identify cyberbullying through the use of deep learning and machine learning techniques;Raj

3. A Tripartite Perspective on Cyberbullying and Cyberviolence Detection (2022);Zhu

4. Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network

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