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American Business Review
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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American Business Review
Article . 2025
Data sources: DOAJ
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Emotion Analysis and Topic Modelling of Supply Chain Discussion during the COVID-19 Pandemic

Authors: Suhong Li; Fang Chen; Thomas Ngniatedema;

Emotion Analysis and Topic Modelling of Supply Chain Discussion during the COVID-19 Pandemic

Abstract

This study aims to investigate the supply chain discussion during the COVID-19 pandemic using the supply chain tweets collected between March 2020 and May 2022 globally. The findings reveal an evolving sentiment trajectory: while the users’ sentiment remained neutral in 2020 and 2021, a negative sentiment surged starting in January 2022. Moreover, an emotion analysis indicates a mix of sadness and optimism among Twitter users, with anger gradually intensifying from June 2021 onward. Furthermore, topic modeling reveals distinct themes discussed each year. In 2020, major topics centered around the government’s response to COVID-19, food and medical supply chain crises. By 2021, discussions shifted to inflation/gas prices, government handling of supply chain crisis, and vaccination/recovery efforts. The first half of 2022 witnessed dominant discussions on the war in Ukraine, inflation and human rights, the US election and border crossing issues. The implications of these findings were discussed at the end.

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Keywords

supply chain management, covid-19, HF5001-6182, twitter analytics, Business, natural language processing, topic modelling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold