Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …

Background Given the rapid development of social media, effective extraction and analysis
of the contents of social media for health care have attracted widespread attention from …

Big data created by social media and mobile networks provide an exceptional opportunity to
mine valuable insights from them. This information is harnessed by business entities to …

Digital health systems contain large amounts of patient records, doctor notes, and
prescriptions in text format. This information summarized over the electronic clinical …

Effective engineering of the Internet is predicated upon a detailed understanding of issues
such as the large-scale structure of its underlying physical topology, the manner in which it …

The remarkable upsurge of social media has dramatic impacts on health care research and
practice. Social media are reshaping health information management in a variety of ways …

Objective Sentiment analysis is an important method for understanding emotions and
opinions expressed through social media exchanges. Little work has been done to evaluate …

Objective User-generated content (UGC) in online environments provides opportunities to
learn an individual's health status outside of clinical settings. However, the nature of UGC …

Background Social media platforms constitute a rich data source for natural language
processing tasks such as named entity recognition, relation extraction, and sentiment …

Background: The global onset of COVID-19 has resulted in substantial public health and
socioeconomic impacts. An immediate medical breakthrough is needed. However, parallel …