  We present a descriptive analysis of Twitter data. Our study focuses on
extracting the main side effects associated with HIV treatments. The crux of
our work was the identification of personal tweets referring to HIV. We
summarize our results in an infographic aimed at the general public. In
addition, we present a measure of user sentiment based on hand-rated tweets.
