Sentiment Analysis in Healthcare: A Brief Review

Sentiment analysis is one of data mining types that estimates the direction of personality’s sentiment analysis within natural language processing. Analyzing the text computational linguistics are used to deduce and analyze mental knowledge of Web, social media and related references. The examined data quantifies the global society’s attitudes or feelings via specific goods, people or thoughts and expose the contextual duality of the knowledge. Sentiment analysis used in different approaches such as products and services reviews. Also is used in healthcare, there is a huge volume of information about healthcare obtainable online, such as personal blogs, social media, and on the websites about medical issues rating that are not obtained methodically. Sentiment analysis provides many benefits such as using medical information to achieve the best result to increase healthcare quality. In this paper, sentiment analysis methods and techniques are presented that used in the medical domain.