Using Deep Learning Models for COVID-19 Related Sentiment Analysis on Twitter Data-Reference-Cited by-同舟云学术

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Using Deep Learning Models for COVID-19 Related Sentiment Analysis on Twitter Data

Published:2023-12-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Human-Centered Cognitive Systems (HCCS)
language:
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Author:

Bangyal Waqas Haider¹,Amina Saeeda²,Shakir Rabia³,Ubakanma George⁴,Iqbal Muddesar⁴

Affiliation:

1. Kohsar University Murree (KUM),Department of Computer Science,Murree,Pakistan

2. University of Sialkot (USKT),Department of Computer Science,Sialkot,Pakistan

3. FUUAST,Department of Computer Science,Islamabad,Pakistan

4. London South Bank University,School of Engineering, School of Engineering,Cognitive Systems Research Centre

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452366/10452433/10452567.pdf?arnumber=10452567

Reference38 articles.

1. Sentiment Analysis in Online Products Reviews Using Machine Learning

2. Polarity classification of Twitter data using sentiment analysis;Raghuwanshi;International Journal on Recent Innovation Trends in Computing Communication,2017

3. Detection of Fake Tweets Using Sentiment Analysis

4. Sentiment Analysis for Predicting Customer Reviews using a Hybrid Approach

5. Systematic reviews in sentiment analysis: a tertiary study

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. Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm;Applied Computational Intelligence and Soft Computing;2024-01

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