Sarcasm Detection in News Headlines using Supervised Learning-Reference-Cited by-同舟云学术

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Sarcasm Detection in News Headlines using Supervised Learning

Published:2022-12-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Artificial Intelligence and Data Engineering (AIDE)
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Author:

Jayaraman Ashok Kumar¹,Trueman Tina Esther²,Ananthakrishnan Gayathri³,Mitra Satanik⁴,Liu Qian⁵,Cambria Erik⁵

Affiliation:

1. Anna University,Information Science and Technology,Chennai,India

2. University of the People,Department of Computer Science,United States

3. VIT University,Department of Information Technology,Vellore,India

4. Indian Institute of Technology,Department of ISE,Kharagpur

5. School of Computer Science and Engineering Nanyang Technological University,Singapore

Funder

UGC (University Grants Commission)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059460/10059641/10060855.pdf?arnumber=10060855

Reference46 articles.

1. Declarative approaches for Compliance by Design

2. Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

3. Sentiment and Sarcasm Classification With Multitask Learning

4. ftfy;speer;Zenodo,2019

5. Wiley Series in Probability and Statistics

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A contextual-based approach for sarcasm detection;Scientific Reports;2024-07-04

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