Exploring Sentiment Analysis: A Study on Rheumatoid Arthritis and Lupus in Healthcare

Abstract

Patients with autoimmune disorders such as lupus and rheumatoid arthritis (RA) have significant life-changing effects on both their physical and mental health. Using patient testimonies collected from social media and internet forums, this paper does a thorough investigation. Using natural language processing methods, we analyze textual data to reveal patients' common attitudes, feelings, worries, and coping mechanisms. Our goal is to give a comprehensive understanding of the emotional aspects of having an autoimmune disease, which will help researchers, support groups, and medical professionals better meet the psychosocial requirements of their patients. We also examine scholarly works published between 2019 and 2024, which deepens our comprehension of the affective dimensions of these situations. Through close examination of text data, we are able to identify common attitudes, feelings, worries, and coping mechanisms among patients. Our research aims to provide useful information to researchers, healthcare providers, and support groups to improve the way psychological requirements in autoimmune disorders are managed. Finally, the challenges of sentiment analysis are examined in order to define future directions.