In recent years, some methods of sentiment analysis have been developed for the health
domain; however, the diabetes domain has not been explored yet. In addition, there is a lack …

User-generated content (UGC) is becoming increasingly available on social media for a
wide range of products and services. Such UGC contains rich information about customer …

Abstract General Purpose Emotion Lexicons (GPELs) that associate words with emotion
categories remain a valuable resource for emotion analysis of text. However the static and …

Ascertaining the impact of research is significant for the research community and academia
of all disciplines. The only prevalent measure associated with the quantification of research …

An immense amount of data is available with the advent of social media in the last decade.
This data can be used for sentiment analysis and decision making. The data present on …

Social determinants of health (SDOH) affect health outcomes, and knowledge of SDOH can
inform clinical decision-making. Automatically extracting SDOH information from clinical text …

Supervised learning has attracted much attention in recent years. As a consequence, many
of the state-of-the-art algorithms are domain dependent as they require a labeled training …

The demand and interest in big data analytics are increasing rapidly. The concepts around
big data include not only existing structured data, but also various kinds of unstructured data …

Sentiment analysis or opinion mining is an imperative research area of natural language
processing. It is used to determine the writer's attitude or speaker's opinion towards a …

Lexicon based methods use Sentiment Orientation (SO) scores of words contained in the
text for polarity determination of documents. These SO scores are obtained from sentiment …