Enhancing Social Media Sarcasm Detection Using Chicken Swarm Optimization and Graph Neural Networks-Reference-Cited by-同舟云学术

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Enhancing Social Media Sarcasm Detection Using Chicken Swarm Optimization and Graph Neural Networks

Published:2024-03-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Contemporary Computing and Communications (InC4)
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Author:

Singh Kamred Udham¹,Singh Niharika²,Chaudhary Varun³,Paliwal Deepika⁴,Singh Teekam⁵,Dewangan Amit kumar⁶

Affiliation:

1. School of Computing, Graphic Era Hill University,Dehradun,India

2. IMS Engineering College,Ghaziabad

3. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

4. G.L. Bajaj Institute of Technology & Management Greater,Noida

5. Geetanjali Institute of Technical Studies, Dabok,Udaipur

6. Guru Ghasidas Vishwavidyalaya,Department of Information Technology,Bilaspur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10648985/10648990/10649201.pdf?arnumber=10649201

Reference30 articles.

1. Multi-Modal Sarcasm Detection in Social Networks: A Comparative Review

2. A Survey on Machine Learning and Deep Learning Based Approaches for Sarcasm Identification in Social Media

3. CRF-MEM: Conditional Random Field Model Based Modified Expectation Maximization Algorithm for Sarcasm Detection in Social Media

4. Sarcasm Detection Using Bidirectional Encoder Representations from Transformers and Graph Convolutional Networks

5. Sarcasm Detection Using Deep Learning With Contextual Features

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