Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data

Cosme Adrover, Todd Bodnar, Marcel Salathe

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.

Knowledge Graph

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