ABSTRACT
OBJECTIVE: To conduct a systematic review of the use in sentiment analysis on social media to identify or assess patient's treatment adherence, and evaluate its application, benefits and future research. METHODS: A systematic review of the literature was carried out by identifying published articles on the main databases of computing and healthcare. Search strings were built by combining keywords related to adherence, social media, data analysis and sentiment analysis. RESULTS: From a total of 709 articles screened, it wasn't possible to identify any study related to the objective. However, we could select 15 which presented some similarity degree and yet very heterogeneous, they were analyzed accordingto six dimensions: Adherence, Data Source, Psychology, Methods, Tools and Sentiment Analysis. CONCLUSIONS: A strong agreement and trend can be observed on the potential use and importance of automatic techniques to collectand analyzed online patient data, especially related to assessment of adherence with sentiment analysis.