Department of Nutrition and Food Sciences, Texas Woman's University Institute for Health Sciences, Houston, TX, United States.
Department of Information and Decision Sciences, University of Illinois at Chicago, Chicago, IL, United States.
J Med Internet Res. 2023 Jul 10;25:e47328. doi: 10.2196/47328.
The COVID-19 pandemic has brought to the spotlight the critical role played by a balanced and healthy diet in bolstering the human immune system. There is burgeoning interest in nutrition-related information on social media platforms like Twitter. There is a critical need to assess and understand public opinion, attitudes, and sentiments toward nutrition-related information shared on Twitter.
This study uses text mining to analyze nutrition-related messages on Twitter to identify and analyze how the general public perceives various food groups and diets for improving immunity to the SARS-CoV-2 virus.
We gathered 71,178 nutrition-related tweets that were posted between January 01, 2020, and September 30, 2020. The Correlated Explanation text mining algorithm was used to identify frequently discussed topics that users mentioned as contributing to immunity building against SARS-CoV-2. We assessed the relative importance of these topics and performed a sentiment analysis. We also qualitatively examined the tweets to gain a closer understanding of nutrition-related topics and food groups.
Text-mining yielded 10 topics that users discussed frequently on Twitter, viz proteins, whole grains, fruits, vegetables, dairy-related, spices and herbs, fluids, supplements, avoidable foods, and specialty diets. Supplements were the most frequently discussed topic (23,913/71,178, 33.6%) with a higher proportion (20,935/23,913, 87.75%) exhibiting a positive sentiment with a score of 0.41. Consuming fluids (17,685/71,178, 24.85%) and fruits (14,807/71,178, 20.80%) were the second and third most frequent topics with favorable, positive sentiments. Spices and herbs (8719/71,178, 12.25%) and avoidable foods (8619/71,178, 12.11%) were also frequently discussed. Negative sentiments were observed for a higher proportion of avoidable foods (7627/8619, 84.31%) with a sentiment score of -0.39.
This study identified 10 important food groups and associated sentiments that users discussed as a means to improve immunity. Our findings can help dieticians and nutritionists to frame appropriate interventions and diet programs.
COVID-19 大流行凸显了均衡健康饮食在增强人体免疫系统方面的关键作用。人们对社交媒体平台(如 Twitter)上与营养相关的信息越来越感兴趣。因此,迫切需要评估和了解公众对在 Twitter 上分享的与营养相关信息的看法、态度和情绪。
本研究使用文本挖掘技术分析 Twitter 上的营养相关信息,以识别和分析公众如何看待各种食物组和饮食对提高对 SARS-CoV-2 病毒的免疫力。
我们收集了 2020 年 1 月 1 日至 2020 年 9 月 30 日期间发布的 71178 条营养相关推文。使用关联解释文本挖掘算法识别用户提到的有助于建立针对 SARS-CoV-2 免疫力的常见话题。我们评估了这些话题的相对重要性,并进行了情感分析。我们还对推文进行了定性检查,以更深入地了解营养相关主题和食物组。
文本挖掘产生了 10 个用户在 Twitter 上经常讨论的话题,即蛋白质、全谷物、水果、蔬菜、乳制品相关、香料和草药、液体、补充剂、避免食用的食物和特殊饮食。补充剂是最常被讨论的话题(23913/71178,33.6%),其中具有积极情绪的比例(20935/23913,87.75%)较高,得分 0.41。摄入液体(17685/71178,24.85%)和水果(14807/71178,20.80%)是第二和第三常见的话题,情绪积极。香料和草药(8719/71178,12.25%)和避免食用的食物(8619/71178,12.11%)也经常被讨论。避免食用的食物中观察到更高比例的负面情绪(7627/8619,84.31%),情绪得分为-0.39。
本研究确定了 10 个重要的食物组和相关情绪,用户讨论这些食物组和相关情绪是为了提高免疫力。我们的研究结果可以帮助营养师和营养学家制定适当的干预措施和饮食计划。