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

Dalayya, Shekinah; Elsaid, Salma Tamer Fathy Ahmed; Ng, Kher Hui; Song, Tien Lii; Lim, Joanne Mun-Yee

doi:10.1155/2023/8005764

Cited by 4 publications

(2 citation statements)

References 60 publications

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“…Following sentiment analysis, a keyword analysis was performed. Identifying keywords can provide context to sentiments provided by participants (Dalayya et al, 2023). Once data from both food pantry use categories were analyzed, the positive and negative sentiments were further analyzed for keywords and themes in the responses by a handcoded search of frequencies of terminology.…”

Section: Abstractearch For Themesmentioning

confidence: 99%

A sentiment and keyword analysis of college food pantry stigma among users and non-users

Duong,

Walker,

Bossert

et al. 2024

J. Agric. Food Syst. Community Dev.

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Food pantry stigma among college students has been documented as an issue that impacts the utilization of resources but has not been deeply investigated. The objective of this study was to explore sources of food pantry stigma to identify different strategies to encourage food pantry use, which has the potential to positively alter methods on campuses. This mixed-methods study was a branched (separate questions and responses from both food pantry users and nonusers), 51-item, online, Qualtrics survey that sampled randomly selected students from a rural university (n = 3,000) and recruited using flyers posted in food pantries on campus. Reported results include demographic characteristics, use of on-campus food pantries, a validated food insecurity questionnaire, food pantry self-stigma, and an adapted measure of self-stigma of seeking help, and affirming or nonaffirming qualitative measures of food pantry stigma. Sentiment and keyword analyses were conducted by two researchers to analyze qualitative data to identify factors that influence food pantry stigma from food pantry users and nonusers. Quantitative data were analyzed with descriptive statistics. Qualitative data determined areas of stigma and aligned with the descriptive statistics on self-stigma and help-seeking measures. Among survey participants (n = 594), 35.7% of food-insecure students did not use food pantries. Users (M = 23.12, SD = 9.06) reported higher perceptions of food pantry stigma than nonusers (M = 15.79, SD = 3.85). Of the food pantry nonusers (n = 461), 322 identified the presence of stigma (69.85%). Sixty-six food pantry users (n = 97) identified the presence of stigma (68.04%). The keyword analysis highlighted potential influences of food pantry stigma among all participants including power hierarchy, financial burden, embarrassment, and feeling superfluous. This study highlights influences of stigma and places an emphasis on changing current approaches in campus food pantry implementation and dissemination. Future studies could investigate the barriers and solutions to current messaging and implementation of campus food pantries utilizing implementation science experts and frameworks.

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Section: Abstractearch For Themesmentioning

confidence: 99%

A sentiment and keyword analysis of college food pantry stigma among users and non-users

Duong,

Walker,

Bossert

et al. 2024

J. Agric. Food Syst. Community Dev.

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show abstract

“…The results of the text analysis exposed shortcomings in the currently existing apps, including their lack of trust as a result of the widespread dissemination of erroneous information and misconceptions about cancer that were endorsed by professionals. Future food applications should provide symptom management, customized diets based on meat or plants, credibility, a pleasurable user experience, and support for mental and emotional well-being [9]. Gedif 2022 et.…”

Section: IImentioning

confidence: 99%

Review on Recycling of Food Waste to Produce Plant Fertilizers

Kansoriya,

Singh

2023

IJRASET

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Sustainable waste management and agriculture are discussed in the perspective of food waste recycling into plant nutrients. The environmental, social, and economic effects of food waste are discussed in this review to highlight their global significance. Methods for turning food scraps into plant nutrients are compared and contrasted, with each approach's benefits and drawbacks highlighted. The staggering annual amounts of food wasted highlight the critical need for a comprehensive response to this problem. Putting food scraps to use as plant fertilizer is an eco-friendly option that follows the principles of the circular economy by reusing otherwise useless materials. Composting, anaerobic digestion, and vermicomposting are examined as three basic strategies for recycling food waste; each approach has its own benefits and flexibility. Anaerobic digestion, for instance, is well-suited to handling large quantities of organic waste, while composting is more suited to urban and domestic settings. It has been demonstrated that fertilizers made from food waste improve soil quality, stimulate plant growth, and add to overall agricultural output. Without the use of synthetic chemicals, these fertilizers increase soil structure, water retention, and plant nourishment. Furthermore, recycling helps reduce emissions of greenhouse gases, which is an important factor in slowing global warming. However, obstacles such as contamination worries, regulatory frameworks, public awareness, and technological developments stand in the way of widespread implementation of food waste recycling. The quality of the fertilizers that can be made from food waste relies heavily on the efficacy of collection and sorting processes. Guaranteeing the safety and efficacy of these items relies heavily on the establishment of regulatory standards and quality controls. Increasing public knowledge and understanding is critical if we are to see a shift in how people typically approach the recycling of food scraps.

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Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language

Yazdani,

Shamloo,

Khaki

et al. 2023

BMC Med Inform Decis Mak

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Purpose Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about healthcare services in the Persian language, both positive and negative. Method To achieve the objectives of this study, a combination of sentiment analysis (SA) and topic modeling approaches was employed. All pertinent comments made by cancer patients were collected from the patient feedback form of the Tehran University of Medical Science (TUMS) Cancer Institute (CI) in Iran, from March to October 2021. Conventional evaluation metrics such as accuracy, precision, recall, and F-measure were utilized to assess the performance of the proposed model. Result The experimental findings revealed that the proposed SA model achieved accuracies of 89.3%, 92.6%, and 90.8% in detecting patients' sentiments towards general services, healthcare services, and life expectancy, respectively. Based on the topic modeling results, the topic "Metastasis" exhibited lower sentiment scores compared to other topics. Additionally, cancer patients expressed dissatisfaction with the current appointment booking service, while topics such as "Good experience," "Affable staff", and "Chemotherapy" garnered higher sentiment scores. Conclusion The combined use of SA and topic modeling offers valuable insights into healthcare services. Policymakers can utilize the knowledge obtained from these topics and associated sentiments to enhance patient satisfaction with cancer institution services.

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

Cited by 4 publications

References 60 publications

A sentiment and keyword analysis of college food pantry stigma among users and non-users

A sentiment and keyword analysis of college food pantry stigma among users and non-users

Review on Recycling of Food Waste to Produce Plant Fertilizers

Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language

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