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

Author:

Dalayya Shekinah1ORCID,Elsaid Salma Tamer Fathy Ahmed1,Ng Kher Hui1ORCID,Song Tien Lii2,Lim Joanne Bee Yin2ORCID

Affiliation:

1. School of Computer Science, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor, Malaysia

2. School of Media, Languages and Cultures, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor, Malaysia

Abstract

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.

Funder

Ministry of Higher Education, Malaysia

Publisher

Hindawi Limited

Subject

Human-Computer Interaction,General Social Sciences,Social Psychology

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