Supervised learning approach a necessary and important step in monitoring drug-related social media posts

Social media, such as Facebook and Twitter, provides many users with an outlet to share opinions online among a broad audience.  Some of these discussions concern their experiences with prescription and over-the-counter (OTC) medications.  These conversations can have an outsized influence on the public perception of the products they discuss.  The sentiment of individual posts regarding the efficacy and side effects of medications can be either positive or negative.  Consumers may also disclose misuse or abuse of the product.  Occasionally,

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Detection and annotation of data from social media

Manual annotation of vast amounts of data obtained from social media is a costly commitment because the work must be done by experts with domain knowledge. The amount of data required to train the algorithm is in the tens of thousands of records. Extraction of ADRs from generic platforms such as Twitter is more difficult than from platforms that are highly specialized. Twitter users generate over 400 million posts daily, of which most have no relevance in drug safety. According

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