Nutrition Information Post COVID-19: A twitter content analysis
| Autor: | Shagun Tomar, Manisha Gupta, Madhu Rani, Hari Shankar Shyam, Nishtha Ujjawal |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Asia Pacific Journal of Health Management (2023) |
| Druh dokumentu: | article |
| ISSN: | 1833-3818 2204-3136 |
| DOI: | 10.24083/apjhm.v18i2.2401 |
| Popis: | 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. The research examined Twitter nutrition health information using hashtags. The frequency of hashtags was ranked. The content analysis quantifies social media healthy diet hashtags. Theme modification and word and phrase recurrence analysis to identify two primary themes and significant sentiments relating to Covid-19 and nutrition. Python and NLP are used to analyze and interpret the data to help acquire in-depth information. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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