Sarcasm Detection in Libyan Arabic Dialects Using Natural Language Processing Techniques-Reference-Cited by-同舟云学术

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Sarcasm Detection in Libyan Arabic Dialects Using Natural Language Processing Techniques

Published:2024-05-19 Issue: Volume:7 Page:761-767
ISSN:
Container-title:2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)
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Author:

Alakrot Azalden¹,Dogman Aboagela²,Ammer Fathi³

Affiliation:

1. Yefren College of Medical Technology,Dept. of Information Technology,Yefren,Libya

2. Libyan Academy for Postgraduate Studies,Dept. of Electrical and Computer Engineering,Al Zentan,Libya

3. University of Zawia,Dept. of Computer Science,Azawia,libya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10599605/10599569/10599695.pdf?arnumber=10599695

Reference25 articles.

1. Sarcasm detection of tweets: A comparative study

2. Sarcasm detection in natural language processing

3. Predicting the Consumption of Political TV Satire: Affinity for Political Humor,The Daily Show, andThe Colbert Report

4. From arabic sentiment analysis to sarcasm detection: The arsarcasm dataset;Farha

5. A Survey of Figurative Language and Its Computational Detection in Online Social Networks

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