Changes in the Perception of Home Training Using Text Mining Techniques: Comparison between before and after the COVID-19 Pandemic

Lee, Myung Chul; Lee, Jang Sub; Han, Dong il; Han, Kyung Hun

doi:10.21032/jhis.2023.48.1.15

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Home training is no longer perceived as a solitary exercise, but has become a trend that can lead to communication and sharing through platforms and even provide elements of sports competition. It can be said that home training showed a gradual growth in the pre-COVID-19 situation, but a sharp growth after COVID-19, which means that the sports industry continues to change and grow with new trends (Lee et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Examining the Changes Regarding “Sports at Home” in the Framework of Youtube Comments Before and During the Pandemic

AKYILDIZ MUNUSTURLAR,

YOLCU,

ERDOĞAN

2023

Ankara Üniversitesi Beden Eğitimi Ve Spor Yüksekokulu SPORMETRE Beden Eğitimi Ve Spor Bilimleri Dergisi

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This study aims to reveal the difference between opinions of individuals who do sports at home by watching videos on YouTube, which gained popularity all over the world before and during the pandemic. In order to examine the change in subject of "sports at home" before and during the pandemic, the most watched "exercise" themed video titled "Do This Everyday to Lose Weight" was selected as data source and user comments were categorized thematically. To analyze data set, Mozdeh Big Data Text Analysis (2020) was used to collect user comments from videos and the number of interactions of these comments via API connection. Qualitative content analysis was used to analyze user comments. The themes were categorized as feedback as a result of regular participation, feedback to content creator, body image anxiety, being happy with body changes, insights focused on weight loss, motivation, challenge and struggle, barriers to participation, flow experience, health status reporting, leisure and enjoyment. It was determined that especially the groups of challenging and struggling, use of leisure time, enjoyment were the themes that received more interaction.

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Section: Discussionmentioning

confidence: 99%

Examining the Changes Regarding “Sports at Home” in the Framework of Youtube Comments Before and During the Pandemic

AKYILDIZ MUNUSTURLAR,

YOLCU,

ERDOĞAN

2023

Ankara Üniversitesi Beden Eğitimi Ve Spor Yüksekokulu SPORMETRE Beden Eğitimi Ve Spor Bilimleri Dergisi

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“…program. The NetDraw program then analyzed the correlation and visualized and clustered the network between words [17].…”

Section: Analysis Techniquesmentioning

confidence: 99%

A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy

Lee,

Kim,

Moon

et al. 2023

Animals

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Text-mining techniques were used to provide basic data to related policy stakeholders and academic researchers by collecting and analyzing research trends related to animal-mediated healing in a short time. A total of 776 studies were collected using the keyword “animal-assisted therapy” (AAT) in the search engine PubMed, which covers a wide range of topics related to health sciences, biomedical research, and health psychology. Four analysis methods were employed. “Dog” was the most commonly utilized animal in AAT. This study also identified individuals with autism spectrum disorder and post-traumatic stress disorder as the primary research participants. Finally, the terms “health care” and “blood pressure” were identified, indicating that AAT has a positive impact on improving blood pressure and enhancing heart rate. These findings demonstrate that AAT research is being actively pursued in various fields, such as social sciences, medicine, and psychology.

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Changes in the Perception of Home Training Using Text Mining Techniques: Comparison between before and after the COVID-19 Pandemic

Cited by 2 publications

References 10 publications

Examining the Changes Regarding “Sports at Home” in the Framework of Youtube Comments Before and During the Pandemic

Examining the Changes Regarding “Sports at Home” in the Framework of Youtube Comments Before and During the Pandemic

A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy

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