Abstract: Sentimental Analysis (SA) is a text mining or Opinion Mining (OM) approach in which the opinion and an emotion of human beings related to an entity is analyzed. Sentic computing is a multi-disciplinary approach to sentiment analysis that exploits both computer and society to better recognize, interpret and process opinions and sentiments that are available online. Sentic computing is mainly used to detect the emotions of the users and analyze free text opinions of unstructured data. Measuring the quality of health care is helpful in knowing the performance of the health care system and provides the way for improvement. This study has proposed an easy-to-use tool to monitor and analyze patient opinion on a regular basis and calculates the quality of health care systems that are available in the hospitals. Usually the patients are willing to express their opinions and feelings in free text, rather than simply filling in a questionnaire, speaking out their satisfaction. This proposed tool, MHCQ allows the patients to enter their health status using an android app and evaluates their health status by means of sentic computing. The performance parameters such as precision, recall and F-measure are used to measure the mood and feeling of the patients regarding the health care system provided.
R. Kingsy Grace, M.S. Geetha Devasena, R. Manimegalai and V. Nagalakshmi, 2016. MHCQ: A Tool for Measuring Health Care Quality-Using Sentimental Analysis. Asian Journal of Information Technology, 15: 4223-4228.