Abstract
By using text mining techniques, this study identifies the topics of sustainable consumption that are important during the COVID-19 pandemic. An Application Programming Interface (API) streaming method was used to extract the data from Twitter. A total of 14,591 tweets were collected using Twitter streaming API. However, after data cleaning, 13,635 tweets were considered for analysis. The objectives of the study are to identify (1) the topics users tweet about sustainable consumption and (2) to detect the emotion-based sentiments in the tweets. The study used Latent Dirichlet Allocation (LDA) algorithm for topic modeling and the Louvain algorithm for semantic network clustering. NRC emotion lexicon was used for sentiment analysis. The LDA model discovers six topics: organic food consumption, food waste, vegan food, sustainable tourism, sustainable transport, and sustainable energy consumption. While the Louvain algorithm detects four clusters—lifestyle and climate change, responsible consumption, energy consumption, and renewable energy, sentiment analysis results show more positive emotions among the users than the negative ones. The study contributes to existing literature by providing a fresh perspective on various interconnected topics of sustainable consumption that bring global consumption to a sustainable level.
Highlights
IntroductionPandemics (infectious disease outbreaks of a worldwide reach) have struck humankind many times in recent years
Pandemics have struck humankind many times in recent years
Based on the Latent Dirichlet Allocation (LDA) algorithm, we identified six main topics from the area of sustainable consumption that are of importance to Twitter users during COVID-19
Summary
Pandemics (infectious disease outbreaks of a worldwide reach) have struck humankind many times in recent years. Compared to other major pandemics, both the scale and economic and social consequences of COVID-19 are significantly greater. The COVID-19 pandemic has influenced 220 countries with more than 195 million confirmed cases and over 4.1 million deaths worldwide to date [1]. The pandemic has impacted many areas of life, including healthcare systems, economic and financial security, wellbeing, work, trade, travel and tourism, transportation, agriculture, and food security across the world [2,3,4,5,6]. It has been confirmed that the COVID-19 pandemic has led to changes in human behavior, including consumer behavior and consumption patterns; it has influenced lifestyles, buying intentions and behaviors, wants, and the way goods and services are consumed [7,8,9,10]
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