… Next, we also perform sentiment analysis of discussion threads where the ratio of positive
and negative sentiment is computed by Eq. (2). Some discussion threads having higher or …

… Sentiment analysis (SA), also known as opinion mining, is a subfield of natural language
processing (NLP) whose aim is to automatically classify the sentiment … related to health, which …

… of the unexpected public health emergency involved. … health emergencies. Methods. This
paper uses a Python crawler, the SnowNLP sentiment analysis model, and correlation analysis …

… 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 …

… are used for sentiment analysis of tweets in the health care setting. … tested against a corpus
of health care messages to check … for sentiment analysis of tweets trained using a health care …

… mining in different sectors like healthcare, business, banking, and others but there is no
study in the maritime domain. In this work we have implemented sentiment analysis … of health …

… However, healthcare domain has been very little explored. … on sentiment analysis to obtain
sentiments and emotions at the comment and entity levels from texts related to the healthcare …

… Sentiment analysis has many benefits, such as using medical information to achieve the …
quality of health care. This review paper focuses on the presented sentiment analysis methods …

… In this work, we describe facets and potentials of sentiment analysis in the context of medicine
and healthcare for several reasons. A treatment process often involves various persons, …

… Very little research has been done in sentiment analysis on health-related forums. Several
… , negative and neutral, using traditional sentiment analysis features such as the number of …