![]() ![]() Infodemiology is “the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy”. Today’s doctors and patients take to online platforms such as blogs, social media, and websites to convey opinions on health matters. JMIR Public Health Surveill 2018 4(2):e43 This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting–specific corpus of manually annotated tweets first. None of these methods have been extensively tested against a corpus of health care messages to check their accuracy. The open source and commercial methods are developed on product reviews and generic social media messages. These range from self-produced basic categorizations to more complex and expensive commercial software. One of the 12 papers commented on the analysis of accuracy of the tool used.Ĭonclusions: Multiple methods are used for sentiment analysis of tweets in the health care setting. The sentiment method was trained against, on an average, 0.45% (2816/627,024) of the total sample data. Moreover, 4 out of the 12 tools were trained using a smaller sample of the study’s final data. More than half of these studies produced tools specifically for their research, 4 used open source tools available freely, and 2 used commercially available software. Results: A total of 12 papers studying the quantitative measurement of sentiment in the health care setting were found. The study compared the types of tools used in each case and examined methods for tool production, tool training, and analysis of accuracy. Methods: A review of the literature was conducted pertaining to Twitter and health care research, which used a quantitative method of sentiment analysis for the free-text messages (tweets). The second objective was to determine which method would work best in the health care settings, by analyzing how the methods were used to answer specific health care questions, their production, and how their accuracy was analyzed. Objective: The first objective of this study was to understand which tools would be available for sentiment analysis of Twitter health care research, by reviewing existing studies in this area and the methods they used. Exploring the methods used for sentiment analysis in Twitter health care research may allow us to better understand the options available for future research in this growing field. Sentiment is a metric commonly used to investigate the positive or negative opinion within these messages.
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