Stance detection in social media data has received attention in recent years as an approach to determine the standpoint of users toward a target of interest, such as a person or a topic included in Twitter data. Although interviewing, surveying, a...
This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Clinical Practice Guidelines. The outcomes of causality extraction from Clinica...
Learning Analytics (LA) has had a growing interest by academics, researchers, and administrators motivated by the use of data to identify and intervene with students at risk of underperformance or discontinuation. Typically, faculty leadership and...
In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...
Recent growth and development of big social media platforms like Twitter, Facebook,Instagram etc. and personal blog sites generate huge amount of unstructured data. Analysis of this data may provide insights into the opinion of people as well as t...
Natural language processing has become a very popular tool in many areas and has also drawn great attention in the community of health informatics. It is a series of processes that allows informaticists to take advantage by extracting and understa...
