#.pdf basics for twitter software

#.pdf basics for twitter software

Computerized software tools have been produced that automate the process of sentiment analysis, allowing large numbers of free-text comments to be processed into quantitative sentiment scores quickly, for example, positive or negative. It is useful for business marketing to understand the public or consumer opinion toward their product. Sentiment analysis from social media is already a widely researched subject. Sentiment analysis allows the content of free-text natural language-that is, the words and symbols used in a message-to be examined for the intensity of positive and negative opinions and emotions. One-third of people with a social media profile use Twitter, with 75% accessing from a handheld device to convey an opinion. There are currently 955 million registered Twitter users who can share messages that contain text, video, photos, or links to external sources. Twitter is a mobile microblogging and social networking service. Twitter is one such place, being easy to use, cheap, and accessible. Bates and colleagues have described social media as a “perfect storm” in regard to patient-centered health care, which is a valuable source of data for the public and health organizations. Data can be collected and analyzed from social media such as Twitter in real time with the ability to survey public opinion (sentiment) toward a subject. 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. JMIR Bioinformatics and Biotechnology 16 articlesġ0th Floor QEQM Building, St Marys HospitalĮmail: Twitter is a microblogging service where users can send and read short 140-character messages called “tweets.” There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area for health care research.JMIR Biomedical Engineering 59 articles.JMIR Perioperative Medicine 65 articles.Journal of Participatory Medicine 69 articles.JMIR Rehabilitation and Assistive Technologies 168 articles.JMIR Pediatrics and Parenting 224 articles.Interactive Journal of Medical Research 244 articles.JMIR Public Health and Surveillance 940 articles.Journal of Medical Internet Research 6775 articles.