Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation-Reference-Cited by-同舟云学术

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Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation

Published:2024 Issue: Volume:12 Page:81206-81220
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Batool Amreen¹^ORCID,Byun Yung-Cheol²^ORCID

Affiliation:

1. Department of Electronic Engineering, Institute of Information Science Technology, Jeju National University, Jeju, South Korea

2. Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science Technology, Jeju National University, Jeju, South Korea

Funder

“Regional Innovation Strategy ” through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10552275.pdf?arnumber=10552275

Reference82 articles.

1. Has COVID-19 Changed China's Digital Trade?—Implications for Health Economics

2. A study of the spatial network structure of ethnic regions in Northwest China based on multiple factor flows in the context of COVID-19: Evidence from Ningxia

3. Coronavirus Pathogenesis

4. Coronaviruses — drug discovery and therapeutic options

5. Origin and evolution of pathogenic coronaviruses

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