Healthcare engagement analysis helps you easily grasp what resonated the most and determine who and what is driving the healthcare conversations. How much interest did the latest conference elicit? Which stakeholder group tweeted the most? Which tweets went viral? Which tweets sparked true back-and-forth discussions? Not all tweets are equal. Symplur Signals evaluates the importance of every conversation based on who shared it and who engaged with it, as well as their stakeholder status and influence in the healthcare industry. The Engagement Analysis highlights the most impactful tweets and discussion threads for any clinical trial.

Healthcare sentiment analysis is powered by a natural language processing (NLP) algorithm that we’ve optimized for healthcare. It extracts subjective information from social media healthcare conversations to determine what is known as the "polarity"—expressed as positive, negative, or neutral—of specific healthcare topics. As a result, we are better able to identify varying attitudes around conversations and provide you with a deeper understanding of the associated sentiments.