An Exploratory Study to Derive a Strategy to Revitalize Tourism Metaverse: Focusing on Text Mining and Semantic Network Analysis

Han, Jang-Heon; Ji, Yunho

doi:10.31336/jtlr.2022.3.34.3.87

JTLR

2022

DOI: 10.31336/jtlr.2022.3.34.3.87

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An Exploratory Study to Derive a Strategy to Revitalize Tourism Metaverse: Focusing on Text Mining and Semantic Network Analysis

Jang-Heon Han¹,

Yunho Ji²

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2022

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Analysis of Food Delivery Using Big Data: Comparative Study before and after COVID-19

Jang

Lee

Jung

2022

Foods

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This study examined consumers’ change in perception related to food delivery using big data before and after the COVID-19 crisis. This study identified words closely associated with the keyword “food delivery” based on big data from social media and investigated consumers’ perceptions of and needs for food delivery and related issues before and after COVID-19. Results were derived through analysis methods such as text mining analysis, Concor analysis, and sentiment analysis. The research findings can be summarized as follows: In 2019, frequently appearing dining-related words were “dining-out,” “delivery,” “famous restaurant,” “delivery food,” “foundation,” “dish,” “family order,” and “delicious.” In 2021, these words were “delivery,” “delivery food,” “famous restaurant,” “foundation,” “COVID-19,” “dish,” “order,” “application,” and “family.” The analysis results for the food delivery sentimental network based on 2019 data revealed discourses revolving around delicious, delivery food, lunch box, and Korean food. For the 2021 data, discourses revolved around delivery food, recommend, and delicious. The emotional analysis, which extracted positive and negative words from the “food delivery” search word data, demonstrated that the number of positive keywords decreased by 2.85%, while negative keywords increased at the same rate. In addition, compared to the pre-COVID-19 pandemic era, a weakening trend in positive emotions and an increasing trend in negative emotions were detected after the outbreak of the COVID-19 pandemic; sub-emotions under the positive category (e.g., good feelings, joy, interest) decreased in 2021 compared to 2019, whereas sub-emotions under the negative category (e.g., sadness, fear, pain) increased.

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Analysis of Food Delivery Using Big Data: Comparative Study before and after COVID-19

Jang

Lee

Jung

2022

Foods

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An Analysis of Changes in Perception of Metaverse through Big Data : Comparing Before and After COVID-19

Kang¹

2022

FTRJ

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An Exploratory Study to Derive a Strategy to Revitalize Tourism Metaverse: Focusing on Text Mining and Semantic Network Analysis

Cited by 2 publications

References 0 publications

Analysis of Food Delivery Using Big Data: Comparative Study before and after COVID-19

Analysis of Food Delivery Using Big Data: Comparative Study before and after COVID-19

An Analysis of Changes in Perception of Metaverse through Big Data : Comparing Before and After COVID-19

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