Big Data Analytics Framework for Opinion Mining of Patient Health Care Experience

• Published in: 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) pp. 352 - 357
• Main Authors: Sabarmathi, G., Chinnaiyan, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2020
• Subjects: Automation; Bibliographies; Big Data; Decision making; healthcare sector; Medical services; Opinion mining; Sentiment analysis; Social networking (online); systematic literature review
• DOI: 10.1109/ICCMC48092.2020.ICCMC-00066

WAC (Web based life, Analysis and Cloud) s the data system that produces a seamless information spreading quicker that is bigger than a Big data. The huge amount of data derived from this humongous volume of information, so called Big data, demands the advancement of a proficient and viable choice with emotionally ground-breaking supportive network schemes in the region of healthcare. The pool of data could be investigated in a manner to assist the framework that more likely comprehend its partner requirements by gathering, mining conclusions on each subject of premium. Preciously administration might be able to acknowledge the crucial decision making process where the new investigations would be accounted for different research avenues. There is a tire need for review every break down and assess research outcomes of crosswise over writing that encouraged us to distinguish existing patterns, potential headings of the future work within the space. This article is going to deal with detailed review of existing research works proposed in the field of opinion mining for healthcare sector.