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Abstract
Social media nowadays has the capacity to disclose sentiments and opinions difficult to obtain elsewhere. This is of valuable importance in the healthcare sector as social networks mechanism can offer clues for health professionals coming from patients communities who reveal and express their needs, sentiments, as well indicators of self-reported quality of life. The present study aims at illustrating the potential of using data from social media to unlock feelings and social network dynamics related to Systemic Lupus Erythematosus (SLE). SLE is still challenging because of the variety and complexity of symptoms, its impact on patients’ quality of life. This study aimed at (1) collecting and analyzing tweets content using the (#) WorldLupusDay or #Lupus or #SLE released the 10 of May 2019; and (2) using tweets text compute sentiment score, explore main concepts and emotions, looking at the sentiment score trends about SLE disease.