Deep Learning Based Cross Domain Sentiment Classification for Urdu Language-Reference-Cited by-同舟云学术

Deep Learning Based Cross Domain Sentiment Classification for Urdu Language

Published:2022 Issue: Volume:10 Page:102135-102147
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Altaf Amna¹^ORCID,Anwar Muhammad Waqas¹^ORCID,Jamal Muhammad Hasan¹^ORCID,Hassan Sana¹^ORCID,Bajwa Usama Ijaz¹^ORCID,Choi Gyu Sang²^ORCID,Ashraf Imran²^ORCID

Affiliation:

1. Department of Computer Science, COMSATS University Islamabad–Lahore Campus, Lahore, Pakistan

2. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09895382.pdf?arnumber=9895382

Reference45 articles.

1. Sentiment analysis of online food reviews using big data analytics;ahmed;Elementary Education Online,2021

2. Sentiment Analysis Approach for Analyzing iPhone Release using Support Vector Machine

3. A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks

4. UTSA: Urdu Text Sentiment Analysis Using Deep Learning Methods

5. Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media

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