redBERT: A Topic Discovery and Deep Sentiment Classification Model on COVID-19 Online Discussions Using BERT NLP Model

redBERT: A Topic Discovery and Deep Sentiment Classification Model on COVID-19 Online Discussions Using BERT NLP Model

Chaitanya Pandey
Copyright: © 2021 |Pages: 16
DOI: 10.4018/IJOSSP.2021070103
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Abstract

A natural language processing (NLP) method was used to uncover various issues and sentiments surrounding COVID-19 from social media and get a deeper understanding of fluctuating public opinion in situations of wide-scale panic to guide improved decision making with the help of a sentiment analyser created for the automated extraction of COVID-19-related discussions based on topic modelling. Moreover, the BERT model was used for the sentiment classification of COVID-19 Reddit comments. These findings shed light on the importance of studying trends and using computational techniques to assess the human psyche in times of distress.
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2. Objective

This study aims to implement natural language processing (NLP) techniques, topic modelling, and a deep learning model based on BERT to analyze how different sentiments manifest throughout the first wave of the pandemic.

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