Analyzing public sentiment towards the Covid-19 pandemic: a Twitter-based sentiment analysis and machine learning approach

Andreas Kanavos*, Nikos Antonopoulos, Alaa Mohasseb, Phivos Mylonas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The Covid-19 pandemic has significantly reshaped societies, prompting an unprecedented surge in digital interactions and communication via social media platforms. Amidst this evolving landscape, the analysis of public sentiment towards pandemic management strategies has emerged as a critical avenue for understanding societal responses. This paper delves into the intricate landscape of sentiment dynamics surrounding the Covid-19 pandemic, with a focus on sentiments expressed in Twitter posts. Leveraging sentiment analysis techniques, the study provides nuanced insights into societal attitudes, concerns, and perceptions across distinct phases of the pandemic. The investigation not only employs traditional lexicon-based sentiment analysis but also explores the intersection of sentiment analysis and machine learning algorithms. The research contributes to the discourse by presenting a comprehensive analysis of public sentiment dynamics during various pandemic stages, shedding light on evolving emotional responses and offering insights into the effectiveness of measures.
Original languageEnglish
Title of host publication18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350327717
ISBN (Print)9798350327724
DOIs
Publication statusPublished - 26 Sept 2023
EventThe 18th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2023) - Limassol, Cyprus
Duration: 25 Sept 202326 Sept 2023
https://cyprusconferences.org/smap2023/

Conference

ConferenceThe 18th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2023)
Country/TerritoryCyprus
CityLimassol
Period25/09/2326/09/23
Internet address

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