Background Attitudes of cancer survivors to nutrition and nutrition care have rarely been
captured. A better understanding of their needs based on a review of their experiences …

Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …

Conversational sentiment analysis is an emerging, yet challenging subtask of the sentiment
analysis problem. It aims to discover the affective state and sentimental change in each …

Sentiment analysis in conversations is an emerging yet challenging artificial intelligence (AI)
task. It aims to discover the affective states and emotional changes of speakers involved in a …

Background: Contents published on social media have an impact on individuals and on their
decision making. Knowing the sentiment toward diabetes is fundamental to understanding …

Abstract Non-pharmacological interventions (NPIs), including natural remedies, traditional
medicine, complementary treatments, supportive care, lifestyle solutions, and wellness …

Background: Social media offer an unprecedented opportunity to explore how people talk
about health care at a very large scale. Numerous studies have shown the importance of …

A growing number of individuals are expressing their opinions and engaging in interactive
communication with others through various modalities, including natural language (text) …

This study aims to explore differences between health misinformation and true information
by comparing word usage, sentiments, and online popularity between pro-and anti-vaccine …

Food waste is a complex issue requiring novel approaches to understand and identify areas
that could be leveraged for food waste reduction. Data science techniques such as …