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Information Systems Frontiers
Published in: Information Systems Frontiers 6/2021

20-04-2021

A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets

Authors: Harleen Kaur, Shafqat Ul Ahsaan, Bhavya Alankar, Victor Chang

Published in: Information Systems Frontiers | Issue 6/2021

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Abstract

With the rise in cases of COVID-19, a bizarre situation of pressure was mounted on each country to make arrangements to control the population and utilize the available resources appropriately. The swiftly rising of positive cases globally created panic, anxiety and depression among people. The effect of this deadly disease was found to be directly proportional to the physical and mental health of the population. As of 28 October 2020, more than 40 million people are tested positive and more than 1 million deaths have been recorded. The most dominant tool that disturbed human life during this time is social media. The tweets regarding COVID-19, whether it was a number of positive cases or deaths, induced a wave of fear and anxiety among people living in different parts of the world. Nobody can deny the truth that social media is everywhere and everybody is connected with it directly or indirectly. This offers an opportunity for researchers and data scientists to access the data for academic and research use. The social media data contains many data that relate to real-life events like COVID-19. In this paper, an analysis of Twitter data has been done through the R programming language. We have collected the Twitter data based on hashtag keywords, including COVID-19, coronavirus, deaths, new case, recovered. In this study, we have designed an algorithm called Hybrid Heterogeneous Support Vector Machine (H-SVM) and performed the sentiment classification and classified them positive, negative and neutral sentiment scores. We have also compared the performance of the proposed algorithm on certain parameters like precision, recall, F1 score and accuracy with Recurrent Neural Network (RNN) and Support Vector Machine (SVM).
previous article FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
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Metadata
Title
A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets
Authors
Harleen Kaur
Shafqat Ul Ahsaan
Bhavya Alankar
Victor Chang
Publication date
20-04-2021
Publisher
Springer US
Published in
Information Systems Frontiers / Issue 6/2021
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-021-10135-7

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