Sentiment Analysis of Code-Mixed Roman Urdu-English Social Media Text using Deep Learning Approaches-Reference-Cited by-同舟云学术

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Sentiment Analysis of Code-Mixed Roman Urdu-English Social Media Text using Deep Learning Approaches

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 23rd International Conference on Computational Science and Engineering (CSE)
language:
Short-container-title:

Author:

Younas Aqsa¹,Nasim Raheela¹,Ali Saqib²,Wang Guojun²,Qi Fang³

Affiliation:

1. University of Agriculture, Faisalabad,Department of Computer Science,Faisalabad,Pakistan,38000

2. School of Computer Science, Guangzhou University,Guangzhou,China,510006

3. School of Computer Science and Engineering, Central South University,Changsha,China,410083

Funder

National Natural Science Foundation of China

Guangdong Provincial Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9345808/9345821/09345887.pdf?arnumber=9345887

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3. Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers;Social Network Analysis and Mining;2024-04-15

4. DeBERTa-GRU: Sentiment Analysis for Large Language Model;Computers, Materials & Continua;2024

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