Detecting Cyberbullying through social media: A Deep Learning Approach-Reference-Cited by-同舟云学术

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Detecting Cyberbullying through social media: A Deep Learning Approach

Published:2024-05-16 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
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Author:

Kadiri Padmaja¹,U Arjun²,Sravani N.³,Jyothi N.Siva³,Mahesh P.³,Naik S.Jayanth³

Affiliation:

1. Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Department of AIML,Tirupati,Andhra Pradesh,India

2. PES Institute of Technology and Management,Department of CSE,Shivamogga,Karnataka,India

3. Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Department of CSE,Tirupati,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582048/10582049/10582256.pdf?arnumber=10582256

Reference7 articles.

1. Multimodal Cyberbullying Detection using Hybrid Deep Learning Algorithms

2. Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches

3. NLP and Machine Learning Techniques for Detecting Insulting Comments on Social Networking Platforms

4. DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

5. Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data

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