Sentiment analysis involves the automatic assessment of emotional content in communications. Primary analysis has focused on identifying positive, negative, or neutral emotional states. More sophisticated analyses identify states associated with specific human emotions, such as anxiety, hostility, or confidence. There are at least two clear opportunities to employ sentiment analysis in healthcare applications: (a) preparing documents for participants in clinical trials, and (b) patient

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... g. Successful applications of sentiment analysis may increase clinical trial retention and help identify those patients who would benefit from intervention.