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Building Computational Representations of Medical Guidelines Using Large Language Models and Transfer Learning
Title
Building Computational Representations of Medical Guidelines Using Large Language Models and Transfer Learning
Author
Gopalakrishnan, Seethalakshmi
Date Created
2023
Subjects--Topical
Computer science
Description
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...
Creating New Concept-based Representations for Superior Text Analysis and Retrieval
Title
Creating New Concept-based Representations for Superior Text Analysis and Retrieval
Author
Shalaby, Walid
Date Created
2018
Subjects--Topical
Computer science
Description
Text analytics represent a set of scalable techniques that mine unstructured and semi-structured textual resources in order to extract useful knowledge for performing a task at hand. For example, document clustering and classification, entity extr...
Detecting Discrete Emotions in Text Using Neural Networks
Title
Detecting Discrete Emotions in Text Using Neural Networks
Author
Seyeditabari, Seyed Armin
Date Created
2020
Subjects--Topical
Computer science, Artificial intelligence
Description
In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political science, psychology, human-computer interaction, artificial intelligence. Acces...
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Title
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author
Seyeditabari, Narjessadat
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence
Description
An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...
Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Title
Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Author
Hematialam, Hossein
Date Created
2021
Subjects--Topical
Computer science
Description
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...
Topological Data Analysis in Text Processing
Title
Topological Data Analysis in Text Processing
Author
Gholizadeh, Shafie
Date Created
2020
Subjects--Topical
Computer science
Description
Topological Data Analysis denotes the set of algorithms and methods to define and retrieve the underlying structure of the shapes in the data. Utilizing topological inference in data mining and generally data science is recent, while computational...