A Text Mining Approach to Study Individuals’ Food Choices and Eating Behavior Using Twitter Feeds

Dondokova, Ayuna; Aich, Satyabrata; Kim, Hee Cheol; Huh, Gyung Hye

doi:10.1007/978-981-13-3648-5_60

Cited by 5 publications

(12 citation statements)

References 8 publications

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“…In another study, twitter messages were also explored and analyzed to determine the contents of tweets related to four eating 4 Human Behavior and Emerging Technologies situations-breakfast, lunch, dinner, and snack. This study provided a framework for understanding food intake and food selection [49].…”

Section: Text Analysismentioning

confidence: 99%

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Dalayya

Elsaid

et al. 2023

Human Behavior and Emerging Technologies

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Understanding human perception and requirements on food for cancer prevention and condition management is important so that food applications can be catered to cancer patients. In this paper, web scraping was conducted to understand the public’s perception, attitude, and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analyses were carried out on results gathered from 82 social sites to determine whether noncancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer, and what do cancer patients need in a food app. The results of the text analysis highlighted gaps in existing apps, including a lack of credibility as there were a lot of fake news and myths about cancer and endorsement by professionals. Future food apps should provide personalized diets to include both plant-based diets as well as meat, symptom management, good user experience, credibility, and emotional and mental health support.

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Section: Text Analysismentioning

confidence: 99%

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Dalayya

Elsaid

et al. 2023

Human Behavior and Emerging Technologies

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“…The impact of food technology classification depending on the aroused feeling (i.e. positive, neutral or negative) (Dondokova et al, 2019;Mostafa, 2020;Chen et al, 2020). Thus, the next RQ is proposed: RQ2.…”

Section: Research Questions Approachmentioning

confidence: 99%

Forecasting the next revolution: food technology’s impact on consumers' acceptance and satisfaction

Virto

Valilla-Arróspide

2022

BFJ

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PurposeIn a sector that needs to satisfy a fast-increasing population, advancements like cultivated meat and bio-circular economy are basic to sustain the industry and the society. As innovations are key for economic and social progress, it is crucial to understand consumers' position on this matter.Design/methodology/approachBased on text data mining, 7,030 tweets were collected and organised into 14 different food-related topics. Of the total, 6 of these categories were positive, 5 were negative and 3 were neutral.FindingsIn total, 6 categories related to food technologies were positively perceived by Twitter users, such as innovative solutions and sustainable agriculture, while 5 like the virtual dimensions of the industry or crisis-related scenarios were negatively perceived. It is remarkable that 3 categories had a neutral sentiment, which gives ground to improvement before consumers have a negative opinion and consequently will be more complicated to change their minds.Originality/valueTechnological innovations are becoming predominant in the food industry. The SARS-CoV-2 pandemic has made the sector improve even faster. Traditional methods needed to be substituted and technologies such as robots, artificial intelligence, blockchain and genetics are here to stay.

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“…In another study, twittermessages were also explored and analyzed to determine the contents of tweets related to four eating situations -breakfast, lunch, dinner, and snack. This study provided a framework for the understanding of food intake and selection [50].…”

Section: Text Analysismentioning

confidence: 99%

Understanding the perception and requirements of a plant-based nutrition app for cancer patients

Dalayya

Elsaid

et al. 2022

Preprint

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Understanding human perception and requirements on nutrition for cancer prevention and condition management is important so that nutrition applications can be catered for cancer patients. In this paper, web-scraping was conducted to understand the public’s perception, attitude and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analysis were carried out on results gathered from 73 social sites to determine whether non-cancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer and what do cancer patients need in a nutrition app. Results of the text analysis highlight missing gaps in existing apps to include a lack of credibility and endorsement by professionals. Future nutrition apps should provide personalized diet, symptoms management, good user experience, credibility, and emotional and mental health support.

show abstract

A Text Mining Approach to Study Individuals’ Food Choices and Eating Behavior Using Twitter Feeds

Cited by 5 publications

References 8 publications

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Forecasting the next revolution: food technology’s impact on consumers' acceptance and satisfaction

Understanding the perception and requirements of a plant-based nutrition app for cancer patients

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