| Autor: |
Tomar, Shagun, Gupta, Manisha, Rani, Madhu, Shyam, Hari Shankar, Ujjawal, Nishtha |
| Předmět: |
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| Zdroj: |
Asia Pacific Journal of Health Management; 2023, Vol. 18 Issue 2, p1-7, 7p |
| Abstrakt: |
Realizing social media's importance, many doctors, nutritionists, health coaches and general users have registered on social media and actively share health information. Users may easily access and exchange health information. It benefits both users and practitioners. Qualitative data analysis is employed to study Twitter communication content to understand better the relationship between users' interest in healthy eating and information seeking on Twitter post COVID-19. The research examined Twitter nutrition health information using hashtags. The frequency of hashtags was ranked. The content analysis undertaken quantifies social media healthy diet hashtags. Theme modification and word and phrase recurrence analysis was used to identify two primary themes and significant sentiments relating to COVID-19 and nutrition. Python and NLP languages are used to analyze and interpret the data to help acquire in-depth information. Twitter users linked nutrition to happiness and sadness post-pandemic, discussing health food, skincare, nutrition, and lifestyle. The research highlighted Twitter's nutrition education significance, including mental and physical health, diet, and natural remedies. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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