Sentiment Analysis in Diabetes

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In this paper, researchers from Sant Baba Bhag Singh University examine sentiment analysis research surrounding diabetes. The researchers extract patient sentiment concerning treatment, drugs, and diet practices. Specifically, this research examines patients’ sentiment of Type-1 and Type-2 Diabetes via social media channels, including Twitter, Facebook, and Instagram.

The researchers aim to provide healthcare institutions with compliant techniques to analyze patient sentiment, leading to enhanced services and treatment. Many of the studies investigated in this paper use the Lexalytics Intelligence Platform as the base sentiment analysis workbench. The authors conclude that using sentiment analysis to examine social media data is an effective avenue for medical insight.

The researchers hope that the analysis technique explored in this paper can be used to create preventive measures and behavioral changes for diabetes treatment. Further, they argue that biomedical institutions armed with sentiment analysis techniques can use social media as a viable platform for patient inquiries and dialogue. Click the button below to read the full research paper now:

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Categories: Biomedical, Lexalytics, Regulatory/Compliance