A Survey on Sentiment Analysis Techniques in the Medical Domain
M Srisankar1* and KP Lochanambal2
1Research Scholar, Department of Computer Science, Government Arts College, Udumalpet, Bharathiar University, Tamilnadu, India
2Assistant Professor, Department of Computer Science, Government Arts College, Udumalpet, Bharathiar University, Tamilnadu, India
*Corresponding Author: M Srisankar, Research Scholar, Department of Computer Science, Government Arts College, Udumalpet, Bharathiar University, Tamilnadu, India.
Published: January 09, 2024
Twitter is a microblogging platform that allows users to send and read 140-character messages, or "tweets." A lot of unstructured, free content linked to healthcare is shared on Twitter, which is becoming a well-known platform for restorative research. One type of information mining that provides an assessment of the identification opinion investigation process in characteristic dialect preparation is estimation investigation. Computational phonetics is used to infer and analyse mental knowledge of the internet, social media, and related references through content analysis. The information gathered truly assesses the attitudes or mindsets of the global community towards specific goods, people, or issues and revealed the pertinent duality of the data. Sentiment analysis is applied in various reveal the contextual duality of knowledge and the attitudes of society towards particular products, persons, or ideas. Many industries, including the health care industry, use sentiment analysis. Social media and websites that rate medical issues are only two examples of the vast amounts of online resources for healthcare information that are not carefully reviewed. Using medical data to optimise patient outcomes and raise the standard of healthcare is only one of the numerous advantages that come with sentiment analysis. The techniques for sentiment analysis that are utilised in the medical area are the main topic of this review article.