A Study on Deep Learning based Classification and Identification of offensive memes-Reference-Cited by-同舟云学术

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A Study on Deep Learning based Classification and Identification of offensive memes

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
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Author:

Myilvahanan Karthick¹,B Shashank¹,Raj Tushar¹,Attanti Chiraanth¹,Sahay Shivam¹

Affiliation:

1. New Horizon College of Engineering,Dept of Information Science and Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073933.pdf?arnumber=10073933

Reference38 articles.

1. Proposed Approach Detection in Twitter;saha,2017

2. An Multilevel efficient energy clustering protocol with secure routing (MEECSR) in WSNs;h s;International Journal of Applied Sciences and Engineering,2021

3. Sarcasm Classification Novel Approach By Using Content Based Feature Selection Method;keerthi kumar,0

4. Robust Classifier Design with Ensemble Neural Network using Differential Evolution;anandhi;International Journal of Engineering Trends and Technology,2020

5. Semi Supervised Recognition of Sarcastic Sentences in Twitter and Amazon;davidov,2010

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1. A Multimodal Content Moderation System using Adversarial Machine Learning;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

2. Enhancing Arabic Cyberbullying Detection with End-to-End Transformer Model;Computer Modeling in Engineering & Sciences;2024

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